ASOS: An Adaptive Self-organizing Protocol for Surveillance and Routing in Sensor Networks

We present a simple model of self-organization for sensor networks that addresses two conflicting requirements: hazard situations should be reported to a sink node with as little delay as possible, even in highly dynamic regimes; and power consumption by individual nodes should be as low as possible and balanced. The model includes a surveillance protocol that explores correlation between source location and event types, and a variation of gradient-based routing that adapts continuously to energy available at selected routers and to changes in topology. Simulation runs provide support to the heuristics we implemented to select routers and nodes to report events, since network longevity increases when compared to other solutions for sensor networks. The performance increase is particularly accentuated when the correlation between event types at neighboring nodes