Swarm intelligence based surveillance protocol in sensor network with mobile supervisors

This paper addresses the surveillance problem using sensor networks with mobile sinks. Sensors´ low computational capabilities and limited energy motivate our design of a swarm intelligence based, energy aware protocol, SSP, to route data to a mobile destination. Using the swarm agent technique to integrate nodes´ residual energy as a metric for the route selection, SSP prolongs the network lifetime by evenly balancing residual energy across nodes and minimizing the protocol´s overhead. The protocol scales well. Simulation results show that SSP outperforms similar protocols that are previously proposed.