Wednesday, September 28, 2016

Mesh networking module simplifies Thread and ZigBee IoT connectivity

By Nick Flaherty

Silicon Labs has used the Gecko low power wireless technology it acquired with Energy Micro to develop a family of modules that support Zigbee and the Thread IoT protocol. 

The MGM111 module is the first in this comprehensive family of multiprotocol modules based on the Mighty Gecko system-on-chip (SoC) device. The MGM111 module is supported by Silicon Labs’ mesh protocol stacks and wireless software development tools. The module’s combination of onboard stacks, antenna options and RF regulatory certifications helps developers reduce cost, complexity and time to market for an array of mesh networking applications including home and building automation, connected lighting, smart metering, security systems and other IoT platforms.

The MGM111 module gives developers a rapid on-ramp to the IoT, enabling them to bring mesh networking products to market quickly and easily with minimal engineering and certification costs. Mighty Gecko modules and wireless SoCs have similar technical features and application programming interfaces (APIs). This hardware and software compatibility makes it easy to migrate from modules to SoCs while enabling developers to preserve their investments in tools and software with little to no system redesign.

The MGM111 module combines a 2.4 GHz Mighty Gecko SoC, high-efficiency chip antenna, crystals, and RF matching and shielding into a complete, ready-to-use mesh networking module supporting ZigBee and Thread protocol stacks. This high level of integration frees developers from complex RF/antenna design and testing and allows them to focus on their end applications. The MGM111 module complies with the IEEE 802.15.4 standard used in ZigBee and Thread stacks and will be pre-certified for compliance with the following regulatory requirements: FCC (North America), IC (Canada), CE (Europe), RCM (AU/NZ) and KC (Korea).

“As the market leader in mesh networking silicon and software, Silicon Labs offers more than a decade of leadership in developing and certifying standards-based mesh networking solutions,” said Skip Ashton, VP of IoT software at Silicon Labs and a member of the board of directors for the ZigBee Alliance and the Thread Group. “Our customers rely on our deep understanding of mesh technology and RF certification. They also appreciate that we offer the tools and stacks they need to simplify the development process, as well as an upgrade path that safeguards their IoT products from being stranded on older technologies and standards.”

Silicon Labs has shipped more than 100 million mesh networking SoCs and modules to customers worldwide. A long-time member of the ZigBee Alliance, Silicon Labs is the leading provider of silicon solutions running ZigBee PRO mesh networking software. In addition, Silicon Labs is a founding member of the Thread Group and has been instrumental in defining and developing the Thread software specification.

The MGM111 module comes in a compact 12.9 mm x 15 mm package that is footprint- and pin-compatible with Silicon Labs’ BGM111 Blue Gecko module supporting Bluetooth low energy technology. This compatibility eases migration and enables developers to support multiple wireless protocols with a common, future-proven system design.

The MGM111 module is supported by Silicon Labs’ Simplicity Studio development platform, a comprehensive suite of development and debugging tools that accelerates IoT product design. Key Simplicity Studio tools include AppBuilder, allowing developers to easily configure wireless applications while ensuring software reuse across designs based on Wireless Gecko technology; Network Analyzer, providing full visibility and debugging of wireless networking activity by using the module’s packet trace port; and Energy Profiler, enabling developers to minimize the energy consumption of their code and extend battery life.

The module uses a 40 MHz ARM Cortex-M4 core and 256 kB flash and 32 kB RAM and supports AES, ECC and SHA algorithms with a hardware cryptography accelerator as well as standalone or network co-processor (NCP) architectures. With up to +10 dBm transmit power, the radio consumes only 9.8 mA (receive mode) and 8.2 mA @ 0 dBm (transmit mode). 

Pre-production samples of the MGM111 Mighty Gecko module are available now for engineering evaluation and prototyping, and volume quantities are planned for Q4 when certifications are expected to be complete. 

Monday, September 26, 2016

Trimble launches LoRa wireless IoT sensors for water monitoring

By Nick Flaherty

Better known for GPS trackers, wireless specialist Trimble has launched a range of IOT sensors for water monitoring using low power long range wireless. 

The Telog41 Series of wireless, battery-powered sensors for water monitoring applications using the LoRaWAN specification that is supported by chip designer Semtech and a range of telecoms operators.
These can be used to remotely measure and monitor water, wastewater and groundwater systems including water pressures, flows, levels and rainfall volumes.

As part of a smart water infrastructure, the Telog 41 Series wireless sensors work in combination with Telog cloud-hosted and on–premise software to allow utilities to more easily and economically deploy wireless monitoring. The sensors extend across a utilities existing monitoring programs for better tracking, measurement and reporting of water usage, sanitary and combined-sewer overflows (CSO/SSO) and flooding, leakage and non-revenue water (NRW). The sensors can be deployed to enable utilities to address many of the significant challenges they are facing due to drought and water shortages, storm events and flooding, budget constraints and environmental regulations. 
"The IoT for water enables a step change in operational efficiency, compliance and sustainability for the water industry," said Adrian Newcombe, business director of Trimble's Telog solutions. "With the Telog 41 Series of IoT sensors, utilities now have the ability to monitor areas of their network that would have been cost prohibitive to reach in the past. And with the ability to wirelessly report data at resolutions down to five minute intervals, water managers have much deeper visibility into their operations. This is essential for enabling utilities to transform how they operate their distribution and collection networks."

The Telog 41 Series includes five new wireless IoT sensors that monitor key measurements of water, wastewater and groundwater systems, including water system pressures, levels, flow and rainfall. The sensors communicate the data using LoRaWAN technology to Telog software at intervals between five minutes and 24 hours. Using Telog cloud-hosted or on-premise software, utilities have full access to Telog 41 Series monitoring data, including alerts and alarms and advanced analytics and reporting.

The Telog 41 Series include:
  • Pressure Monitoring: The Telog PR-41 Pressure Recorder provides utilities with visibility of their water system pressures ensuring that they can operate the network to meet customer needs, regulatory requirements and manage NRW.
  • Level Monitoring: The Telog WL-41 Level Recorder allows utilities to monitor water levels of underground aquifers, reservoirs and water towers, ensuring that they have a real-time view of the water resources available and stored within their network.
  • Flow Monitoring: The Telog MTU-41 Meter Telemetry Unit enables utilities to monitor water flows in their system by collecting the values from a flow meter register and reporting the computed interval flow volume. The Telog MTU-41 ensures that the utility has an up to date view of flows, while improving efficiencies with the elimination of manual reads.
  • Pulse/Event Monitoring: The Telog PE-41 Pulse Event Recorder enables the monitoring of meter devices such as flow meters within the network. By retrofitting the Telog PE-41 to existing mechanical meters (e.g. flow meters) in the network, the utility can gain near real-time data on parameters such as flow that were not previously possible, while driving efficiencies by removing the need for manual reads.
  • Rainfall Monitoring: The Telog RG-41 Rain Gauge allows utilities to continuously gather data on rainfall within their service area. The Telog RG-41 monitors the output of a tipping bucket rain gauge and reports the rainfall intensity so utilities can understand the intensity and distribution of rainfall and its potential impact on their network.

The key is low cost of operation relative to traditional cellular remote monitoring products, allowing utilities to deploy sensors in higher numbers and to distribute them throughout their distribution and collection networks, with a battery life of four to seven years from a single, user-replaceable C-size lithium battery.

The Telog 41 Series is expected to be available in the fourth quarter 2016 from Trimble's Telog Authorized Partners and Distributors.

Friday, September 23, 2016

Top ten IoT passwords show users are at risk

By Nick Flaherty

We may laugh at users who use simple, weak passwords, but the Internet of Things is at risk as a result, and engineers are to blame

Symantec has revealed the top ten passwords for IoT devices. The weak passwords are opening up IoT device to hackers to use a botnets for denial of service attacks.
Using root and admin for passwords, along with classics such as '123456' and 'qwerty' leaves devices vulnerable. “For this reason, the prpl Foundation advocates for standards in for manufacturers and developers of IoT - in even the smallest of devices," said Cesare Garlati, chief security strategist for the not for profit prpl Foundation that is backed by Imagination Technologies. "Three basic principles to these standards are using open source - rather than proprietary software, forging a root of trust at the hardware level in embedded systems and exercising security by separation using hardware virtualisation, making it more difficult for criminals to get control."

Other recent IoT stories:

Symantec identifies IoT security risks

By Nick Flaherty

Symantec has confirmed cybercriminals are using the Internet of Things to spread malware and create botnets, hijacking IoT devices to carry out distributed denial of service (DDoS) attacks on more profitable targets, usually large companies. To succeed, they need cheap bandwidth and get it by stitching together a large web of consumer devices that are easy to infect because they lack sophisticated security. This is why security has become a key issue for embedded IoT development projects.
“The nature of many IoT devices is that they are always on and always connected, making them prime targets for attackers to exploit,” said Cesare Garlati, chief security strategist for the not for profit prpl Foundation that is backed by Imagination Technologies. “If we look at the humble light bulb, while it might not seem like a big deal if a single light bulb in a home is breached, what if a hacker could control every one of those light bulbs within a set area to create a power surge that cause a massive black out?”

“For this reason, the prpl Foundation advocates for standards in for manufacturers and developers of IoT - in even the smallest of devices. Three basic principles to these standards are using open source - rather than proprietary software, forging a root of trust at the hardware level in embedded systems and exercising security by separation using hardware virtualisation, making it more difficult for criminals to get control,” he said.

More than half of all IoT attacks originate from China and the US, based on the location of IP addresses to launch attacks says Symantec. High numbers of attacks are also emanating from Germany, the Netherlands, Russia, Ukraine and Vietnam. In some cases, IP addresses may be proxies used by attackers to hide their true location.

Most IoT malware targets non-PC embedded devices such as web servers, routers, modems, network attached storage (NAS) devices, closed-circuit television (CCTV) systems, and industrial control systems. Many are Internet-accessible but, because of their operating system and processing power limitations, they may not include any advanced security features.

Although 2015 was a record year for IoT attacks, these are less interested in the victim and the majority wish to hijack a device to add it to a botnet, most of which are used to perform DDoS attacks.

“The primary reason why IoT devices are being hacked and most often added to existing botnets is primarily because there are accessible from the Internet directly,” said Stephen Gates, chief research intelligence analyst at NSFOCUS. “Often, people who deploy an IoT device are simply not deploying them behind firewalls. Instead, they are deploying them in a fashion whereby the devices are completely accessible from anywhere on the Internet. Also, many people are not changing default passwords on these devices. Vendors who develop these technologies try to make them as easy as possible to install to help reduce customer support calls; which can be very costly for the vendor.”

Additional information on Symantec’s IoT research can be found at:

Thursday, September 22, 2016

Top three trends in industrial automation

By Nick Flaherty

A new report on the industrial automation market highlights the top three trends, which, while not overly surprising, are all key drivers for embedded systems.

Technavio’s latest report on the global industrial automation software market provides an analysis on the most important trends expected to impact the market outlook from 2016-2020. These have the potential to significantly impact the market as it heads for a shakeout.
The industrial automation software market in Asia Pacific is predicted to increase the current market share of 31.46% in 2015 to 33.71% in 2020 from investments in the smart power grid sector, pharmaceuticals, automotive, and food and beverages. Vendors based in Europe and the US are increasingly setting up their facilities in APAC for greater market penetration and to achieve economies of scale. In 2015, Siemens announced investments worth $1bn in India to set up factories and R&D centers in India. Staying close to customers in APAC will allow fast delivery, product customization, and low supply chain costs, increasing the profit margins.

It sees the top three emerging trends driving the global industrial automation software market as:
  • Shift toward cloud-based deployments
  • Growing popularity of open-source industrial automation software
  • Merger of PLC, motion control, and robotics application software

Shift toward cloud-based deployments

Industrial automation software based on the cloud is likely to be a next logical step in the evolution of automation technology in process industries. End-users are becoming more comfortable with the concept of service-based technology architecture. They can significantly reduce costs, achieve greater flexibility, and enhance functionality by shifting toward the cloud-based environment. SMEs operating in process industries face budget constraints and cuts that make it difficult to afford the initial investment in MES.

“SMEs are hesitant to incorporate industrial software because they lack the financial resources to employ dedicated technical staff and specialist personnel for complicated roll-outs, updates, and operation of servers. Many cloud vendors such as German-based ITAC Software provides cloud-based MES solutions in the public cloud that can enable SMEs to benefit from the advantages of implementing MES solutions in their plants,” says Bharath Kanniappan, a lead analyst at Technavio for research on automation.

The user only needs the standard Internet access, and the cloud service provider supervises the responsibility of installation, configuration, maintenance, and updating. In addition, traditional MES providers offer MES as different modules. Hence, SMEs end up buying multiple redundant modules like Statistical process control (SPC) and Quality or Corrective and Preventive Actions (CAPA), increasing the total cost of the system.

Growing popularity of open-source industrial automation software

An open-source industrial automation software is an independent platform that provides a set of tools for the development and implementation. The open platform-based industrial automation software provides an alternative to expensive in-house design. It offers development libraries, interface applications, mass configuration tools, and front and back-end applications. It supports process and discrete industries that are pressurized to reduce large upfront development costs or quick introduction of new features in connected embedded designs.

The existing software modules of open industrial automation software help developers to avoid time-consuming and low-level processes. These modules enable the industrial automation vendors to remain focused on customization of their application and introduce their product in the market as early as possible. Many industrial automation vendors can take advantage of cutting-edge solutions from the open-source community, reap the benefits of crowdsourcing, and avoid costly development efforts.

Merger of PLC, motion control, and robotics application software

“As automation applications continue to grow, two distinct areas of industrial control systems, namely robotics and motion, are starting to merge deployments. Robotics is a path dependent event-based application. Motion control is typically a scan-based velocity or positioning application. The user interface in robotics is teach-pendent centric and motion control incorporates PLC programming processes such as ladder and FBD,” adds Bharath.

Vendors are increasingly finding ways to merge these distinct software architectures to provide a combined software solution to customers. An automated food packaging plant needs a packaging machine and a pick-and-place robot to be installed before it completes palletizing/depalletizing applications. The packaging machines contain motors, actuators, and I/O connections operated by a PLC. The robot is installed with a hand-held teach pendant for programming and operation. Hence, the food packaging firm employs application engineers to complete the PLC programming and a separate application engineer to complete the robot programming.

Related articles: 

This week's power news

Power News from EETimes Europe



Wednesday, September 21, 2016

IoT market heads for shakeout

By Nick Flaherty

The Internet of Things (IoT) is heading for a shakeout according to anew report from Lux Research.

They team at Lux have done a good job analysing 29 players in the market in figure 1, highlighting PTC, although some providers such as SIGFOX are missing.

The Lux Vendor Matrix revealed a wide range of companies with technically sound platform products providing broad capabilities across four functional areas -- devices, connectivity, applications, and analytics -- and nine distinct features. Still, a shakeout is imminent, and many startups and small- and medium-sized enterprises are at risk.

This concurs with indicators that the hype cycle for IoT providers is reaching its peak and consolidation will follow, although the underlying opportunities for embedded technology remain strong. 
"In the coming years, most of the strong platform startups will be acquired by large ICT and industrial players, a process already underway, while the majority of the weaker startups will simply fail," said Isaac Brown, Lux Research Analyst and lead author of the report titled, "The IoT Platform Shakedown."

"Similarly, enterprise IoT initiatives will achieve mixed results with success depending on how well they navigate a steep learning curve," he said.

Lux Research analysts evaluated IoT platform products from 29 startups and small- and medium-sized enterprises, and ranked them on the Lux Vendor Matrix. Among their findings:
Tech partnerships are key to platform strength. Nearly all the startups scored between 2.0 and 4.0 in technology strength on a scale of one to five, with a mean of 3.3. The mean of product maturity scores was 3.13 but the range was wider, with many scoring below 2.0 or above 4.0, contrasting with the more closely grouped tech scores. Technology partnerships were the strongest differentiating factor in technology strength scores.

Wide range of mature platforms available. The Lux Vendor Matrix revealed a range of platforms with mature and technically sound products, putting them in the upper right-hand "Engage" quadrant. Several of these platforms -- ThingWorx, Jasper, Wyless and SeeControl -- have already been acquired and many more are likely targets in the near future. Overall, with two notable exceptions, platforms with connectivity management capabilities scored higher.
Acquisitions top $2 billion in 2016. Venture capital firms and corporate groups have poured billions of dollars into IoT platforms. The 29 platforms evaluated in this study have raised $500 million to date, led by Jasper Technologies with $192.4 million. The value of IoT platform acquisitions has topped $2 billion in 2016 alone.

VxWorks links to IBM's Watson with 'edge-to-cloud' IoT recipes

By Nick Flaherty

Wind River has linked up its VxWorks real-time operating system (RTOS) client to the IBM Watson IoT platform.  This is part of a collaboration between the two to advance IoT deployments for industrial customers with new “edge-to-cloud” recipes designed to simplify and accelerate the development of smart connected devices. This integration marks the first in a series of VxWorks clients for cloud service providers to follow and highlights the need for thinking about the whole IoT chain from the edge to the cloud analytics.
The client software allows VxWorks-powered IoT devices to connect directly to the IBM Watson IoT platform. The client is based on the IBM Watson IoT SDK, and enables IoT developers to create devices using VxWorks that can use the IBM Watson IoT platform and IBM Bluemix cloud services. The addition of this client boosts VxWorks as an RTOS for IoT, in addition to the safety, security, and virtualization capabilities already provided to meet today’s development challenges for building intelligent, connected systems.

To offer maximum flexibility, different clients will be integrated into VxWorks in the near future to enable customers to choose their cloud provider of choice, which hints at Microsoft Azure and Amazon AWS.

The VxWorks client for IBM Watson IoT is available now for free on the VxWorks Marketplace

Tuesday, September 20, 2016

Updated: LogMeIn looks to open up IoT projects with the Xively ProductLauncher

By Nick Flaherty

Xively, the IoT networking platform of LogMeIn, has launched an interactive design tool to help nearly anyone, even those with limited technical expertise, quickly and easily create a virtual connected product and business.
Update:  This isn't the first time that LogMeIn has tried to do this - it has been an early mover in the IoT market. Back in 2013 it teamed up with ARM for its Jumpstart service, which brought a series of templates to the mbed development environment to help engineers develop code on ARM microcontrollers and link to the Xively cloud service.

This time around, ProductLauncher allows companies to model their IoT project before investing significant time and resources on developing custom software and a physical product. As a result, Xively says 'anyone' can turn an IoT product idea into a virtual connected business that manages and automatesIoT data, all in a matter of clicks. With the ability to move projects forward instantly, companies may be able to dramatically reduce the cost and time to market typically felt with IoT projects.

Powered by the full enterprise Xively platform and offering more than 300 connected product templates across industries, including smart home, commercial, industrial and healthcare, the Xively ProductLauncher allows developers to:
  • Create a Connected Product and Data Model: A company can pick from hundreds of Xively’s connected product templates with different data feeds or can upload their own product idea and can customize the feeds for their specific use case
  • Create an End-User App: A company can see how an app can transform the way product data is visualized and how a user controls various aspects of a connected product.
  • Make Data Actionable: Set rules for the connected product based on the data being generated to help provide new revenue streams, better support or automate the service of the product – all through simple drop-down options.
Also today, Xively by LogMeIn is adding new pricing models including a fixed price package that offers a set cost and timeline for getting a product connected and launched, and helps avoid uncertain development delays and cost surges that tend to plague DIY projects.

“Most companies are still approaching IoT as a technology challenge rather than a business opportunity and IoT solutions today are catering to that model leaving the business stakeholders out in the cold,” said Paddy Srinivasan, General Manager and Vice President, Xively by LogMeIn. “The Xively ProductLauncher is changing the game by enabling effectively anyone to rapidly conceptualize, customize and deliver a connected product that adds value to both their business and their customers in a matter of months.”

Xively Website

Flexible battery firm raises $5m to move its technology into IoT

By Nick Flaherty

Lithium polymer battery maker BrightVolt is an interesting company for IoT developers. The company is raising over $5m from a venture capital firm called New Science Ventures to move its flexible battery technology into the Internet of Things.
The thin film solid state battery technology, Polymer Matrix Electrolyte (PME), can be used in reflow PCB manufacturing processes as it can withstand the high temperatures without being damaged. This would allow the flexible, very thin batteries to be easily added to IoT nodes by being laminated into the PCB, especially where they use energy harvesting. 
“There is enormous upside market potential for BrightVolt battery technology in the expanding IoT space, including sensors, labels, medical devices and wearables,” said Todd Peters, BrightVolt CEO. “As the numerous uses for our revolutionary and patented battery chemistry continues to multiply, with this investment so will our ability to meet global market demand. Our partnership with New Science Ventures accelerates our ability to lead new battery development and meet the world’s need for safer, smaller and more powerful batteries.”

“As power requirements for semiconductors keep coming down and IoT applications experience rapid growth, many players are looking for flexible form factors to power these distributed devices,” said Vivek Mohindra, New Science Ventures partner and board member. “BrightVolt’s proprietary technology changes the way batteries are developed, and speed innovations in areas where new types of flexible and safe batteries are needed. Our continued commitment to BrightVolt reflects our strong belief in their industry-leading technology and the current direction of the company.”

The technology has already been used to manufacture more than 10 million batteries, and the company is evaluating additional funding from other parties interested in investing.

Monday, September 19, 2016

Farewell again Fairchild

By Nick Flaherty

The acquisition of Fairchild by ON Semiconductor sees one of the founding names of the electronics industry disappear. The details, including the new structure of ON Semi, are at EETimes Europe.

It's part of the continuing consolidation of the power industry as it matures such as the acquisition of Linear Technology by Analog Devices back in July.

Using Static Analysis to Improve IIoT Device Security

The Industrial Internet of Things is unique in that devices that compose industrial control systems are often insecure due to limitations in their design and capability. On top of that, the protocols used to communicate are not secure, with a dangerous reliance on physical security, such as keeping devices on a local network). System-level implementation of security is required as part of that secure software design and development. 

Industrial devices suffer the same challenges as all IoT devices, such as being increasingly targeted by attackers, having traditionally poor built-in security, and having large deployments of legacy devices, all while increasing machine-to-machine connectivity. 

However, IIoT devices have unique requirements:
  • They are hardware-limited in terms of processing capabilities for many modern security features, such as encryption, networks stacks, and built-in firewalls.
  • They often control critical infrastructure, which makes the possible outcomes of cyber-attacks much more serious.
  • Industrial controllers and SCADA systems have different communication protocols and standards than home or office devices.
  • Various other factors, including extremely long product lifecycles and difficulty in updating firmware and hardware compared to other devices.

These additional challenges exacerbate the security challenge for development teams in IIoT.

Four Steps to Improve IIoT Security
The four-step improvement process for IoT devices applies equally to IIoT devices with extra consideration for these challenges. Incorporating the following four major steps into an embedded software-development process can improve security (and quality) for highly-connected devices. The four-step process: 
  1. design with a security first philosophy, 
  2. use and repeat system-wide threat assessments and analysis, 
  3. use tools as much as possible, and 
  4. use advanced source and binary code analysis to ensure the quality and security of third-party code. 

Static analysis tools like GrammaTech’s CodeSonar provide critical support in the coding and integration phases of development. Ensuring continuous code quality, both in the development and maintenance phases, greatly reduces the costs and risks of security and quality issues in software. In particular, static analysis provides some of the following benefits:
Continuous source-code quality and security assurance: As each new code block is written (file or function), it can be scanned by static analysis tools, detecting errors and vulnerabilities (and maintaining secure coding standards, discussed below) in the source before it enters the build system.
Tainted data detection and analysis: Analysis of the dataflows from sources (i.e. interfaces) to "sinks" (where data gets used in a program) is critical in detecting potential vulnerabilities from tainted data (containing potential exploit payloads).
Assessing the quality and security of third-party code: Most projects are not greenfield development and require the use of existing code within a company or from a third party. Performing testing and dynamic analysis on a large existing codebase is hugely time consuming and may exceed the limits on the budget and schedule. Static analysis is particularly suited to analyzing large codebases and providing meaningful errors and warnings that indicate both security and quality issues. CodeSonar's binary analysis can analyze binary-only libraries and provide similar reports as source analysis when source is not available. In addition, binary analysis can work in a mixed source and binary mode to detect errors in the usage of external binary libraries from the source code.
Figure 1: A four-step security and quality assurance process for IIoT devices
Secure coding standard enforcement: Static analysis tools analyze source syntax and can be used to enforce coding standards. Various code security guidelines are available such as SEI CERT C and Microsoft's Secure Coding Guidelines.

As part of a complete tools suite, static analysis provides key capabilities that other tools cannot. The payback for adopting static analysis is the early detection of errors and vulnerabilities that traditional testing tools may miss. This helps ensure a high level of quality and security on an on-going basis.

Machine-to-machine (M2M) and IIoT device manufacturers, incorporating a security-first design philosophy with formal threat assessments and automated tools, will produce devices that are better secured against the accelerating threats on the Internet. Modifying an existing successful software-development process that includes security at the early stages of product development is key. A smart use of automated tools to both develop new code and secure existing and third-party code allows development teams to meet strict budget and schedule constraints. Static analysis of both source and binaries plays a key role in a security-first development toolset.

Friday, September 16, 2016

MRAM opens up low power IoT applications

By Nick Flaherty

After years of development, magnetoresistive RAM (MRAM) looks set to become a standard technology as it rolls out on the 22nm process technology from GLOBALFOUNDRIES. The move will allow lower power IoT chip designs coming to market in 2018.

GLOBALFOUNDRIES had been working with startup Everspin Technologies, and has now introduced a scalable, embedded MRAM non-volatile memory technology (eMRAM) on its 22FDX platform.

This provides embedded system designers with access to 1,000x faster write speeds and 1,000x more endurance than today’s non-volatile memory (NVM) offerings. 22FDX eMRAM also features the ability to retain data through 260°C solder reflow with an industry-leading eMRAM bitcell size.

The 22FDX platform is the industry’s first 22nm fully-depleted silicon-on-insulator (FD-SOI) technology which enables the MRAM capability for both code storage (flash) and working memory (SRAM).  The power efficiency of FDX and eMRAM, coupled with the available RF connectivity IP, makes 22FDX an ideal platform for battery-powered IoT products and automotive controllers.

“Customers are looking for a high-performance non-volatile memory solution that expands their product capabilities," said Gregg Bartlett, senior vice president CMOS Platforms Business Unit, GLOBALFOUNDRIES. "Our introduction of 22FDX eMRAM enables system designers with new capabilities, allowing them to build greater functionality into their MCUs and SoCs, while enhancing performance and power efficiency.”

“Emerging non-volatile memories are moving from the lab to the fab,” said Thomas Coughlin, President of Coughlin Associates. “GLOBALFOUNDRIES' 22FDX eMRAM will offer a major advancement in SoC capabilities, by leveraging the key performance attributes of embedded MRAM. Designers of battery powered IoT devices, automotive MCUs and SoCs and SSD storage controllers will certainly want to take advantage of this versatile embedded NVM technology.”

The partnership with Everspin has already delivered the world’s highest density ST-MRAM in August, 2016 with a 256Mbit DDR3 perpendicular magnetic tunnel junction (pMTJ) memory chip that is being readied for mass production.

The 22FDX eMRAM is currently in development and is expected to be available for customer prototyping in 2017, with volume production in 2018. GLOBALFOUNDRIES’ eMRAM technology is scalable beyond 22nm and is expected to be available on both FinFET and future FDX platforms.

Thursday, September 15, 2016

ST launches low cost LoRa dev kit for the Internet of Things

By Nick Flaherty

STMicroelectronics has introduced a low-cost development kit that uses the STM32 microcontroller ecosystem for prototyping Internet-of-Things (IoT) devices with LoRa Wireless Low-Power Wide Area Network (LPWAN) connections.
The $40 P-NUCLEO-LRWAN1 kit (above) combines the ultra-low-power STM32L073 Nucleo (NUCLEO-L073RZ) microcontroller board with an RF expansion board based on the proven SX1272 LoRa transceiver from Semtech (I-NUCLEO-SX1272D). The STM32L073 MCU is based around the ARM Cortex-M0+ core and proprietary ultra-low-power features for devices such as utility meters, alarm systems, positioning devices, trackers, and remote sensors. Users can further extend functionality by adding extra expansion boards, such as the X-NUCLEO-IKS01A1 sensor board for motion, humidity, and temperature sensing.

LoRa enables long-range communication with several advantages over conventional cellular connections, including lower power and cost. Versatile features include multiple communication modes, accurate indoor and outdoor location awareness, and native AES-128 security. This competes with technology from SIGFOX and the new Weightless-P standard.

The new kit contains everything needed to build bi-directional end devices that comply with LoRaWAN version 1.0.1 and support class A and class C protocols. Devices can be activated using Over-The-Air Activation (OTAA) or Activation-By-Personalization (ABP). An application for LoRaWAN certification tests is included in the kit, and the I-CUBE-LRWAN LoRaWAN stack is available and posted at

Using the STM32 ecosystem provides development resources such as the STM32Cube tools and software packages containing sample code and Hardware Abstraction Layers (HALs). These allow porting to any of the almost 700 STM32 MCU variants that cover a wide range of performance, power, packages, and price points. Developers are also free to use familiar IDEs and ARM mbed online tools.

Wednesday, September 14, 2016

$5 controller supports both sub-GHz wireless and Bluetooth

By Nick Flaherty

Texas Instruments has launched a  dual-band wireless microcontroller (MCU) that supports sub-1 GHz and Bluetooth low energy connections on a single chip for under $5. 

The SimpleLink dual-band CC1350 wireless MCU enables developers to move from a three-chip solution to one, reducing design complexity and saving power, cost and board space. The sub-GHx capability gives the CC1350 a range of up to 20 km on a coin cell battery for building and factory automation, alarm and security, smart grid, asset tracking and wireless sensor network applications, while the Bluetooth connection gives an easy link to a node via a smartphone or tablet.
The device is based around an ARM Cortex-M3 core in a single, Flash-based, 4x4 mm QFN package with a sleep current of 0.7 uA that allows for more than 10 years of battery life. 

Developers can get started quickly with the low-cost CC1350 wireless MCU LaunchPad development kit or connect sensors to the cloud in minutes with the CC1350 SensorTag demo kit supported by TI’s Code Composer Studio integrated development environment (IDE) and IAR's Embedded WorkBench. TI has also simplified development by providing multiple software options including point-to-point communication examples with EasyLink, a wireless M-Bus protocol stack leveraging TI RTOS, as well as the BLE-Stack 2.2 software development kit (SDK) which supports Bluetooth 4.2 specifications. This small, sensor-based kit includes 10 low-power MEMS sensors and can connect to the cloud in less than three minutes.
The LaunchPad kit (LAUNCHXL-CC1350) costs $29.00, the SensorTag demo kit (CC1350STK) coming in 4Q 2016 for $29.99.

The SimpleLink Sub-1 GHz CC1350 wireless MCUs, for operation in 315 MHz, 433 MHz, 470 MHz, 500 MHz, 779 MHz, 868 MHz, 915 MHz and 920 MHz and 2.4 GHz ISM bands and SRD systems, will be available in 4x4, 5x5 and 7x7 mm QFN packages. 

The devices available now are for 868 MHz, 915 MHz and 920 MHz ISM band operation and the 7x7 mm pricing is $4.60 in 1,000 unit volumes

Moving IoT analytics to the network edge

By Nick Flaherty

FogHornSystems has launched a software platform that it says can provide real-time analytics applications on what it calls ultra-small footprint edge devices.

This is ground breaking, as it allows allows application developers, systems integrators and production engineers to quickly and easily build high-performance edge analytics solutions for their industrial operations and Industrial IoT (IIoT) use cases, and rapidly deploy those applications throughout the highly-dispersed distributed edge environments. This reduces bandwidth usage and cost, minimizes latency and increases reliability as well as providing real-time responsiveness that is critical to a growing number of IIoT applications.

It looks like this is mostly aimed at edge gateway devices as the development kit supports C++ code up to 256M, rather than smaller embedded implementations for IoT nodes.

“Data processing at the edge is disruptive because it enables industrial companies to tap into operational data for making decisions in real-time and at significant scale,” said John Myers, managing Research Director at Enterprise Management Associates (EMA). “Using data from IoT sensors to drive immediate action was not possible when data was processed in the cloud and not at the network edge. The benefits of edge computing solutions such as FogHorn’s could extend well beyond cost savings and factory yield optimization, to intelligent management and forecasting.”
FogHorn recently announced a $12 million Series A round of funding, with several global IIoT leaders participating in the financing, including GE, Bosch and Yokogawa, to develop the technology.

“FogHorn is revolutionizing the development of high-value IoT application solutions in a huge variety of industrial and commercial settings by bringing the power of ‘big data’ intelligence to the source of high-volume and high-velocity machine data at the edge, rather than transporting that data to the cloud or data center for upstream processing,” said FogHorn CEO David King. “Lightning enables our end customers and their technology partners to build a powerful new class of real-time edge analytics IIoT solutions by minimizing application latency, as well as saving those customers an enormous amount of money associated with bandwidth and cloud hosting costs. Our initial successes have been with major players in the manufacturing, energy, transportation and smart cities sectors.”

FogHorn helps to close the divide between the massive amounts of data generated – often by thousands of sensors – in an IIoT environment and the amount of the data that is used in operations. For example, McKinsey & Company has reported that less than one percent of the huse amount of data being generated by 30,000 sensors on an offshore oil rig is currently being used to make decisions, and it is something that has been highlighted by the Embedded Blog.
The Lightning software platform allows businesses with distributed operations to get insights as close as possible to geographically dispersed IoT-connected machines and the operations technology (OT) control systems and sensors attached to those machines. 

“FogHorn’s real-time edge analytics align with our strategy to optimize lean manufacturing and digital capabilities in our brilliant factories,” said Anup Sharma, General Manager of Digital Productivity at GE Digital. “Our engineers and analysts can work together on applications to analyze data from hundreds of sensors in real-time using an extremely agile approach, helping to improve productivity.”

“At FogHorn, we solved the biggest challenges associated with gaining data insights at the edge, such as processing and correlating massive amounts of sensor data in real-time,” said FogHorn CTO Sastry Malladi. “The high bandwidth costs of sending data from thousands of devices in remote deployment locations to the cloud for later processing is eliminated or significantly reduced. Bringing powerful analytics closer to the data source is made possible through our patent-pending, high-performance, small-footprint edge analytics engine and other key technology innovations we have introduced at the data ingestion, data processing and data publication layers of the Lightning edge software stack.”

Lightning is also accessible on the Microsoft Azure Marketplace and FogHorn is a certified SAP HANA application solution partner. In terms of IoT gateway hardware support, FogHorn is a certified Dell IoT solution partner and Lightning has also been validated on HPE Edgeline IoT Gateways as well as other Intel x86 IoT server platforms.

The platform is currently available in two different versions: Lightning Micro is embeddable software with a very small memory footprint (less than 256 MB) required for data processing and real-time analytics at the edge using a C++ SDK. Features include high-speed data ingestion via OPC-UA, MQTT, Modbus and other protocols, sata transformation and VEL, a real-time streaming analytic engine with an easy-to-use expression language and hundreds of built-in functions

The Lightning Standard Edition includes all of the features of Lightning Micro edition with additional support for advanced analytics, and edge applications in different languages. These additional features include built-in time series database for historical analysis, dashboard visualizer for real-time insights and a machine learning sandbox with commonly used algorithms and an Edge Application Development SDK in multiple languages such as Java, Python and C++. Data publication is to external/cloud based data stores such as Apache Hadoop, Kafka, Microsoft Azure, Cloud Foundry RIAK, etc.

PTC bids for IoT with ThingWorx

By Nick Flaherty

PTC is not a widely known name in the embedded industry, but would be known for its acquisitions of high level modelling tool developer Atego in 2014 and even way back to 3D graphics pioneer Division in 1999 for its virual reality and augmented reality software. 

Last year it bought ColdLight’s Neuron automated predictive analytics platform to add to its 2014 purchase of Adexa, creating a software platform it calls ThingWorx that highlights the maturing of the booming IoT market.
“The Internet of Things is having a significant impact on the design, production, operation, and management of everyday products, prompting more companies to find the right partner to enhance their offerings and processes,” said Jim Heppelmann, president and CEO of PTC. “The selection of ThingWorx as an IoT solution by these partner companies validates our vision and open cloud platform approach, and serves as an endorsement of our easy-to-use tools that are critical to the success of any IoT strategy."

ThingWorx consists of  a rapid application development platform, connectivity, machine learning capabilities, augmented reality, and integration with leading device clouds. It focuses on developing the components that contribute to IoT success – including analytics, application development, and connectivity – for markets that include manufacturing, aerospace and defense, telecommunications, and smart cities. 

To date, the company says hundreds of its partner companies – solution builders – have chosen ThingWorx to accelerate their IoT initiatives. This includes Autoware, a provider of advanced solutions to control and supervise plants, processes, and supply chains; INDEFF, a specialized international solution provider for industry, smart manufacturing, and infrastructure; Wipro, a leading global information technology, consulting, and business process services company; HMS Industrial Networks, a provider of the Netbiter solution for remote monitoring of field equipment; and Acumen Solutions, a trusted leader in enterprise cloud transformation.

One of the many predictions for the growth of IoT, this time from IDC, says the worldwide Internet of Things market will grow to $1.7 trillion in 2020. “PTC has emerged as a clear leader in the Internet of Things market,” said Stephanie Atkinson, President, Compass Intelligence. “Its vision, robust technology portfolio, and strong market position make the company a clear choice for any organization with a need to capitalize on the Internet of Things and achieve improvements in efficiency, reductions in cost, and the advancement of new business models.”


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