(Our apologies if you receive multiple copies of this posting.)

Second Call for Papers

Special issue on UNCERTAINTY REASONING AND MULTI-AGENT SYSTEMS FOR SENSOR NETWORKS

To appear in the Journal of Multi-agent and Grid Systems (MAGS), IOS Press

Important dates:
-	Submission deadline: 23 December 2011
-	Reviews due: 10 February 2012
-	Revised versions due: 9 March 2012
-	Final decisions: 20 April 2012
-	Camera ready: tbd (depending on MAGS publication plan)

Papers can be submitted to "[log in to unmask]". Please include
"MAGS special issue" in the subject line.

Guest editors:
-	Martijn Warnier, TU Delft (contact person: [log in to unmask])
-	Virginia Dignum, TU Delft
-	Frank Dignum, Utrecht University
-	Frances Brazier, TU Delft
-	Paul Miller, Queen University Belfast

Sensor networks are increasingly seen as a solution to the problem of
performing wide-area monitoring and surveillance within urban,
environmental, security and defensive scenarios. Sensors distributed
over a wide area, communicate through the network to ensure monitoring
and control of the area covered. Multiple sensors observe the
environment and then exchange their probability estimates (for the
occurrence of an event) with each other. Sensors are able to fuse the
evidence in such received messages, and compute the probability of
occurrence of the relevant event. Negotiation processes enable
agreement on the nature of the event.

On the one hand, the distributed nature of these networks, and the
increasing expectation of autonomous behaviour from the sensors leads
naturally to a multi-agent approach to analysis, design and
development of sensor networks. Further technical challenges include
decentralised control, co-ordination, resource allocation, which are
mainstream research within the agent community. On the other hand, the
nature of sensor networks leads to possible failures of interactions
and noisy communication, which calls for uncertainty reasoning and
data and knowledge fusion approaches to information exchange and
decision making in sensor networks. Furthermore, the increasing
availability of sensor network data, and the need to make use of it in
real-time for informed decision making, requires the development of
intelligent agents that can autonomously acquire knowledge from these
networks, and perform information processing tasks such as fusion,
inference and prediction.

Originating from the URMASSN workshop (http://urmassn11.iids.org/)
this special issue aims to explore the synergy of agent technologies,
data and knowledge fusion and uncertainty reasoning for design and
implementation of sensor networks and also for the processing of
sensor network data and decision support.

Topics of interest include:
o	Agent-based architectures for sensor networks
o	Agent-based simulation of sensor networks
o	Organization structures for sensor networks
o	Sensor network management (including game theory, negotiation and market approaches).
o	Reasoning with uncertainty and failure in sensor networks
o	Reliable communication in sensor networks
o	Coordination and planning
o	Adaptive and learning agents for sensor networks
o	Emergent behaviour
o	Data and knowledge fusion and aggregation within sensor networks
o	Reasoning with incomplete or uncertain information
o	Security and trust in sensor networks
o	Applications and real-world deployments of sensor networks
o	Reliability, efficiency, and fault tolerance