New products, Conferences, Books, Papers, Internet of Things


The ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) is a leading annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of a multiple of these areas.

New: In addition to IPSN’s traditional focus areas, IPSN 2016 is inaugurating a new track on the Internet of Things (IoT). The entire program committee is eligible to review any submitted paper, but in order to aid in reviewer selection, authors are encouraged to indicate in the submission site whether their submissions are related to the IoT track.

Like previous years, IPSN 2016 will continue its focus on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors, as well as new hardware and software architectures, modelling, evaluation, deployment experiences, design methods, implementations, and tools for networked embedded sensor systems.

Important Dates:

Abstract registration:     Thursday, October 8, 2015
Submission deadline:     Thursday, October 15, 2015
Acceptance notification:   January 19, 2016
Conference dates:     April 12, 2016

More information in the conference site here

Jr. Assistant Professor

The University of Trento, Italy seeks candidates with significant accomplishments in any field related to Information and Communication Technology (ICT), who are committed to applying their research to the energy domain (e.g., smart buildings, smart grids, green computing, etc.).

The successful candidate for the position will be expected to have a strong publication record and the ability to work both independently and collaboratively. A proven record of participation in research projects and experience in teaching in English in graduate institutions is desirable. Knowledge of Italian is not a requirement. The University of Trento particularly welcomes applications from women candidates.

The Department offers two graduate courses (Computer Science and Telecommunications Engineering) and a Ph.D. school—all taught exclusively in English and designed for an international student audience—besides a double degree Master of Science program in ICT Innovation within the European Institute of Technology ICTLabs, of which Trento is a core partner.

The Department also offers three undergraduate courses, including a recently approved strategic initiative in cooperation with the Economics and Management Department to start a B.Sc. degree taught in English.

The successful candidate is expected to teach a course in one of these programs, based on previous expertise and background, and conduct research in the context of the Department of Information Engineering and Computer Science (DISI)

More information available here.

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.

Given the explosion of connected devices, also known as the Internet-of-things, it’s natural that people would want to know just how many such devices are out there.

But how do you go about figuring out just how many of these devices—like thermometers or light bulbs hooked to the Internet—are being used in a given city? The answer is apparently to enlist the services of a drone that can fly above the city proper and gather tons of data pertaining to the connected gadgets and appliances.

A team of researchers at security company Praetorian wanted to discover how many IOT-friendly devices were being used in Austin, TX, and found that the best way to do so would be to outfit a drone with the company’s custom built connected-device tracking appliance and have it fly over the city, Praetorian vice president of marketing Paul Jauregui told Fortune.

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.

ab43feece71365df937ed12b2192eaff_originalHere is cool idea: use a light-up smiley face that affixes to a vehicle’s rear window to communicate simple yet important messages to other drivers, like saying ‘thank you’.

Now you can take that and other socially clever practices into your daily driving. Simply join the pledge at this kick-starter project, dubbed MotorMood, and voila! …start spreading smiley face in your community.

A detailed article from can be found 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.


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