1st Workshop on Resources AWare Sensor and surveillance NETworkS (RAWSNETS) August 30, Klagenfurt, Austria Associated to the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance Klagenfurt University August 30 – September 2, 2011 Call for Contribution and Participation ========================================================================================= In the real applications domain, monitoring technology has to cope with different constraints that open to interesting research topics. In particular in context of sensor networks three main resources present strong limitations: a)Communication, b) Computational Power and c) Power Consumption. All these limitations become more evident with the increase of the number of sensors deployed by the network. These limitations require a sort of awareness of the system that can take measures to adapt its performance or operability in order to adhere to the constraints. In the context of video sensor networks, the bandwidth limitation strongly upper-bounds the amount of data that each node/camera can share through the network. Hence distributed and hierarchic models have gained major interest against centric models. Anyhow, distributed knowledge still require information sharing for consensus policies. Information sharing requires information extraction that hence has to be handled as close as possible to the data acquisition. This foresees smart sensors able to perform as many as possible analysis of the data. Currently this is bound by the computational power available on-board of embedded platforms. Limited computational power implies to work on simpler data (low resolution images, low frame rate, etc.) or to adapt the quality of the data as consequence of its content (event or not). On top of that, the mobility of the sensor networks (ad hoc deployments, moving sensors, etc.) introduces the third limitation that is represented by the power consumption. Power, in these networks, is not unlimited, it is a paramount resource. Saving power means sustain the operability of the network. Properly switching on and off the sensors allows to save power. Switching on and off policies are fundamental and should be based on the assessment of the sensor importance at each time instant. It is clear that methods to control the analysis parameters of the sensor network together with algorithms able to manage the network in terms of communication, computational power and consumption are key research areas for future resource aware sensor networks. Paper Submission ========================================================================================= The workshop aims to present the latest achievements and future developments in the field of resource aware sensor network. The workshop will be organized as a round table where all the participants can interact in an active manner. A keynote speaker will be individuated to give wide introduction about the research field and propose different discussion topics. Around the keynote speech, participants will be asked to contribute to the discussion. Participation requires to submit an extended abstract (about 1000-2000 words) of current research in the resource aware sensor networks field. Accepted contributors will be asked to give an interactive presentation in order to give a full coverage of the topics. Publication ========================================================================================= Selected contributions will be published in the AVSS proceedings Important Dates ========================================================================================= . Submission: April 22th, 2011 . Notification: May 6th, 2011 Web-Site and Contact Information ========================================================================================= Additional information about the workshop can be found at http://users.dimi.uniud.it/~christian.micheloni/events.html Queries about the Workshop can be sent to Dr. Christian Micheloni Università degli Studi di Udine - AVIRES Lab. e-mail: christian.micheloni@uniud.it Chairs ========================================================================================= Dr. Christian Micheloni - Università degli Studi di Udine, Italy Prof. Amit K. Roy-Chowdhury - University of California, Riverside, U.S.A.