Multipath Selection Method for En-route Filtering in Dynamic Wireless Sensor Network

Abstract

Wireless sensor networks are supplied with limited energy resource, deployed in hostile environments, and use wireless communication. Thus, sensor nodes are prone to failure, which makes the network topology configurations highly dynamic in real world application. This vulnerability means that an attacker can easily compromise a node to inject false report and launch DoS attacks. A number of en-route filtering schemes have been proposed to drop and defeat these attacks using their own cryptographic methods. Some of them ask for a fixed path between base station and each cluster, so they are not feasible for dynamic network. And the others, they do not consider various environment variables in dynamic environment, so they only choose static paths. By contrast, we consider topology changes, communication cost, maximum number of key dissemination hops, and the spread of nodes for providing optimum filtering capacity. This paper presents an adaptive multipath selection method using fuzzy logic for the en-route filtering schemes in dynamic environment of wireless sensor network. Our proposed method can adjust optimized the number of multipath in key dissemination. Experimental results show that compared to existing solutions, our method can achieve higher filtering capacity with lower energy consumption, as well as choose more suitable nodes for highly dynamic networks.