RAWSNETS 2011 - 1st Workshop on Resources AWare Sensor and surveillance NETworkS (RAWSNETS)

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Category RAWSNETS 2011

Deadline: April 29, 2011 | Date: August 30, 2011-September 02, 2011

Venue/Country: Klagenfurt, Austria

Updated: 2011-04-26 20:39:05 (GMT+9)

Call For Papers - CFP

Resources AWare Sensor and surveillance NETworkS (RAWSNETS)

August 30, Klagenfurt, Austria

Associated with 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 29th, 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.micheloniuniud.it

Chairs

Dr. Christian Micheloni - Università degli Studi di Udine, Italy

Prof. Amit K. Roy-Chowdhury - University of California, Riverside, U.S.A.