Location-centric isolation of misbehavior and trust routing in energy-constrained sensor networks

Abstract

We propose a novel, location-centric, architecture for isolating misbehavior and establishing trust routing in sensor networks. Our scheme fits the data-centric nature of sensor networks and is suitable for use in energy-constrained networks. Much of our protocols operate in the sinks relieving the sensors from a lot of functionality. Our protocols select trusted paths that do not include misbehaving nodes, by identifying insecure locations and routing around them efficiently via detour points using embedded blacklists and modified geographic or trajectory routing. For insecure location discovery we propose efficient one-shot probing. Cheat-proofing is achieved using location correlation to remove false reporting. Our simulations show how our scheme effectively increases the throughput and energy-efficiency of a sensor network and alleviates the effect of route infection in geographic routing.