SEBAR : Secure Energy based Ant Routing Algorithm for Wireless Sensor Networks

Trust is a major security threat in Wireless Sensor Network (WSN) applications like military surveillance, forest fire detection .Malicious nodes in the network may disturb the proper functioning of the network by dropping packets, refusing to forward packets, advertising wrong paths. Forwarding the packets through energy drained nodes in the path leads to improper delivery of packets to the destination or Sink. Ant Colony Optimization (ACO) deals with the restrictions of WSNs and improves the route discovery and the route maintenance through pheromone. ACO algorithms have shown great potential in network optimization. Each node in the network constructs a table containing the Trust value (direct and indirect) of its neighbors along with the Residual energy and Pheromone values. We propose a novel Secure Energy Based Ant Routing (SEBAR) algorithm for finding the energy based secure path between the source node and the sink using the information available in the table of the intermediate nodes. We also compare the performance SEBAR with the AODV routing algorithm and conventional ACO. Our results show that SEBAR identifies efficient path from source to destination with more packet delivery ratio than AODV and Conventional ACO.