A multiagent approach to manage communication in wireless instrumentation systems

This paper deals with the application of the emergence paradigm to communication management in wireless instrumentation systems. We exploit the emergence resulting from a multiagent self-organization process. We propose a model of autonomous adaptive multiagent organization to route the information in the best way, taking into consideration strong constraints on energy resources, dynamical topology, and asymmetric communication links. Simulation results are discussed, showing that the multiagent approach based on self-organization is an interesting alternative to traditional protocol approaches. The distributed artificial intelligence mechanism is implemented as a generic middleware. We apply our approach to the instrumentation of an underground hydrographic system.