Abstract
The information-communication in an energy efficient and scalable manner in a wireless sensor network is a basic need. In this work, we use the multi-agent approach in order to build an Information Importance Based Communication (IIBC) for large scale wireless sensor network data processing. A multi-agent cooperation can be used to greatly reduce the communication cost, especially over low bandwidth links, by treating data cooperatively in sensor nodes rather than bringing this data to a central processor. The principal goal of our proposition is to maximize the wireless sensor network life time and simultaneously to insure a sufficient level of performance in term of latency, packet loss and reliability. Through successive simulations, IIBC proved its ability to reduce the power consumption of the sensor node to maximize "the mean time to first network partition" in several network densities and scales.
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