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Dependable Internet of Things

Graz University of Technology (TU Graz) recently established an Excellence Research Center entitled “Dependable Internet of Things in Adverse Environments”. The mission of this long-term center is to foster a highly interdisciplinary research team spanning the computer science and electrical engineering faculties to lay the scientific foundations for an Internet of Things that is highly reliable, safe, and secure in order to enable critical applications that require guaranteed performance even in adverse environments.

The center is seeking to fill 10 PhD positions with excellent candidates, who will work closely together in four subprojects that focus on the following topics:

1. Dependable Wireless Communication and Localization (three positions in wireless networking, physical layer signal processing, and tunable microwave frontends)
2. Dependable Embedded Computing (two positions in embedded hardware and software with a focus on security and real-time operating systems)
3. Dependable Composition of Smart Things (three positions in model checking, model-based testing, and machine learning)
4. Dependable Networked Control (two positions in control theory and information theory)

Applicants must hold a Master degree (or equivalent) in computer engineering, computer science, or electrical engineering before they can take on the position. Proficiency in the English language (spoken and written) is required. Applicants should be highly motivated, have initiative and responsibility, be able to work independently and in an interdisciplinary team, should have interest in scientific research, should have commitment to publish research results and to obtain a doctoral degree.

The positions are to be filled from January 1, 2016 with an initial appointment for three years. The position is remunerated according to the collective contract (Kollektivvertrag) for Austrian Universities, i.e., the salary amounts to at least 37.280€/year before taxes and may increase depending on prior experience.

TU Graz aims to increase the number of female employees and therefore specifically invites qualified women to apply.

TU Graz is a leading technical university in Austria (ranking 151-200 in the world in engineering in the Shanghai Ranking) in a medium-sized city with a very high quality of life, located at the south-eastern foot of the Alps, offering plentiful recreation opportunities.

Applicants should fill in the application form available here and upload it together with a transcript of records, a copy of the master’s degree, a recent certificate of the level of proficiency of the English language, and a copy of the master’s thesis at the Easychair conference management system using this link.
For further information please contact the center coordinator Prof. Kay Römer (roemer aT tugraz dot at).

The application deadline is November 30, 2015.

Contiki 3.0 Released

Today the Contiki team announced the release of Contiki 3.0, the latest version of the open source IoT operating system! The 3.0 release is a huge step up from the 2.x branch and brings support for new and exciting hardware, a set of new network protocols, a bunch of improvements in the low-power mesh networking protocols, along with a large number of general stability improvements. This is, by far, the best Contiki release ever!

Contiki is the open source operating system for the Internet of Things, used by developers to bring low-power wireless connectivity to their products and projects. Read more about Contiki here.

Since the the previous 2.7 release, which came out in November 2013, the Contiki team has merged some 500 pull requests with new code, bug fixes, and improvements.

As the wireless world evolves, so does its hardware. Recently, many new Systems-on-a-Chip (SoCs) have been released, which makes hardware design much easier, as you only need a single chip for both radio communication and control.

Contiki 3.0 adds support for two new interesting hardware platforms: the Texas Instruments Sensortag and the Zolertia ReMote.

More info here.


The healthcare sector is under change, and the sector of distributed healthcare/home healthcare is increasing, enabled by new technology. Elderly will keep on living in their homes, but with a need of aids. One of the ultimate goals is the self-serve, independence and dignity enhancement of seniors through innovative ICT-based solutions.

Embedded Sensor Systems for Health (ESS-H), is aiming to provide monitoring of patients in their home environment by wearable, wireless sensor systems. These sensor systems enable monitoring with minor instruction, and allow the monitored person to continue with normal life activities.

The 1st Workshop on Embedded Sensor Systems for Health and Internet of Things (ESS-H IoT) workshop aims at using embedded sensor systems in health monitoring applications, considering the future vision of Internet of Things. It covers a variety of research directions, including sensor hardware development, wireless communication and signal processing.

Topics of interest include (but are not limited to):

  • Wearable sensor systems
  • Medical and sensor data stream processing
  • Signal processing and analysis
  • Machine learning for signal processing
  • Cloud Technologies for Healthcare
  • Intelligent data processing and predictive algorithms in eHealth
  • Telemedicine applications
  • Network communications for health monitoring
  • Security, Safety and Privacy in IoT
  • Mobile sensing and smartphone sensing
  • Wireless sensor and actuator networks
  • Sensor network operating systems and resource management

More information available here.

Sewio goes UWB

Sewio known as a producer of Open Sniffers for IoT devices in recent months released a new product portfolio with focus on location and tracking based applications. Sewio takes advantage of mature development state in wireless ranging technologies and build up new products based on Ultra Wide Band technology. Sewio brings Real Time Location Systems (RTLS) enabling high precision and integrability together with real-time visibility thanks to the complex web tracking applications. The key benefits of Sewio RTLS solution is also easy commissioning, scalability and further also hardware and software customization regarding the customer requirements. For customers willing to evaluate and test the RTLS solution beforehand Sewio offers fancy RTLS Kit, which allows to track five objects in areas up to 5000 m2 (

On of the key application, where the Sewio product brings added value is mining safety. Their Proximity Detection System (PDS) features high-tech technology for monitoring presence of workers in proximity of machine. This PDS system consisting of set of UWB devices allows to stop the machine and alert the responsible person about the danger zone violation, see

Furthermore, the same system might be applied for tracking the laborer in the mine. The UWB systems also find customers in automotive, logistics, energy and chemical industries.

More info here.

Weightless-N Open Standard IoT network goes live across London

The Weightless SIG today announced the deployment of a Weightless-N Smart City network in the heart of the UKs capital. The network, operating on Nwave technology, has been deployed in conjunction with the Digital Catapult national centre to rapidly advance the UK’s best digital ideas, which is making available the infrastructure on which Weightless base stations are deployed.

Operating in sub-1GHz, licence-exempt ISM spectrum using ultra narrow band (UNB) technology, Weightless-N offers best-in-class signal propagation characteristics, leading to excellent range of several kilometres, even in challenging urban environments such as the city of London. Very low power consumption provides end points with exceptionally long battery life measured in years from small conventional cells, and leading edge innovation in design minimises both terminal hardware and network costs.

London is one of the worlds largest cities, the largest municipality in Europe with over 21 million people in a metropolitan area covering over 8000 square kilometres. Siting of base stations to support an efficient, low cost city-wide network is an important part of the deployment planning process.

We are delighted to be able to provide a platform to showcase Weightless-N technology, a key enabler for Smart City projects not just across the capital but around the world, said Peter Karney, Head of Engineering, Digital Catapult. We are looking forward to opening this up to our network to enable them to continue to showcase the UKs innovation in this area; we will be leading an open call in the near future allowing these innovators to register their interest in the project.

Network modeling predicts coverage encompassing well known London landmarks including Buckingham Palace, the Houses of Parliament and the Tower of London to the south and the Emirates Stadium to the north. Independent real world signal verification will shortly be carried out to provide an accurate coverage map and this will be published on the Weightless website when complete.

Yury Birchenko, CEO of Nwave Technologies, described the network as “a groundbreaking milestone – the first public network deployment from Nwave since the publication of the Weightless-N open standard”.

Weightless-N is designed around a differential binary phase shift keying (DBPSK) digital modulation scheme to transmit within narrow frequency bands using a frequency hopping algorithm for interference mitigation and enhanced security. It provides for encryption and implicit authentication using a shared secret key regime to encode transmitted information via a 128 bit AES algorithm. The technology supports mobility with the network automatically routing terminal messages to the correct destination. Multiple networks, typically operated by different companies, are enabled and can be co-located. Each base station queries a central database to determine which network the terminal is registered to in order to decode and route data accordingly.

More info here.

The Connected Car

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Source: Telematics Update

The Raspberry Pi

Raspberry Pi


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