Agent-based Clustering for Sensor Webs Self-Organization

M. Mekni and B. Moulin (Canada)


Sensor web, Multi-Agent systems, Clustering, Autonomous and Self-organizing Systems.


We work on the application of an agent-based clustering approach for the self-organization of sensor webs in the context of a water resource monitoring project. Sensors, which are deployed in large numbers in geographic areas of interest, have to deal with the dynamism of the spatial environment as well as with the network topology changes considering of their limited capabilities. In addition, sensors need to self-organize in order to collectively achieve objectives that they are not able to accomplish individually. In this paper, we propose an agent-based architecture which simulates the physical sensor network in a virtual geographic environment. This architecture coordinates the sensor network’s activities in order to build a multi-level clustered network.

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