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

Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several indoor localization technologies have been proposed and experimented by both academia and industry, but we have yet to see large scale deployments.

Microsoft Indoor Localization Competition as part of IPSN 2016 aims to bring together real-time or near real-time indoor location technologies and compare their performance in the same space.

A poster session dedicated to all competition participants will be organized during the conference. Participants will have the opportunity to explain their system to conference attendees.

More information regarding participation, eligibility and evaluation is available here.

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.


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.


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