The submission deadline has been extended to August 06, 2017!!!

Over the past few years, research in Wireless Sensor Networks (WSNs) has significantly advanced and the focus has shifted from research on hardware platforms, networking, and communication into data analysis and services. With the growing interest in Internet of Things from both academia and industry, many new challenges due to heterogeneity and diversity of operating environments, application requirements, sensing devices, and communication technologies have been introduced. Now that many conventional and standard operating conditions have been addressed and sensing and communication solutions have been designed for, it is time to bring the research on wireless sensor networks and the Internet of Things (IoT) to a new dimension, namely being operational under extreme conditions, such as deep underground, deep underwater, under extreme dynamicity and mobility, extreme rotation and vibration, extreme noise, and extreme resource constraints to ensure applicability of the research results in many real applications. Recently, smart sensing and communication through direct application of deep learning and big data analytics, as well as advances in IoT ranging from new radio technologies (e.g. LoRa, Sigfox, NB-IoT) to embedded platforms (e.g., Sodas, Arduino, and Raspberry Pi), have attracted growing interest. However, the extant techniques in IoT, Big Data, and Deep Learning will face a number of new challenges when applied to networks under extreme conditions. Answering to questions such as the following are crucial to bring the IoT technology one step closer to real operating conditions and applications:

  • How to build accurate and representative models for different extreme conditions and harsh environments without having a priori data?
  • How to design a robust system that can efficiently deal with ever-changing operating conditions?
  • How to ensure system adaption to the emerging and changing conditions in an efficient manner?
  • How to cope with extreme resource constraints while guaranteeing quality of service?
  • How to efficiently deal with unpredictability and unreliability of the communication and sensing environment?

The First ACM International Workshop on Wireless Sensing Systems for Extreme Conditions (XtremeSys 2017) provides an excellent opportunity to researchers and practitioners working in different areas of IoT, Big Data, and Deep Learning, and their interaction to come together, discuss, and exchange their expertise and knowledge related to wireless sensing systems for extreme conditions.

XtremeSys 2017 is colocated with SenSys 2017 and BuildSys 2017 in Delft!

Important Dates

  • Full Paper Submission: August 06, 2017 (23:59 AOE).
  • Acceptance/rejection notification: September 4, 2017.
  • Link to web submission form