Using repeated game for maximizing high priority data trustworthiness in Wireless Sensor Networks

Abstract

Due to the fast boom of security threats in wireless sensor networks (WSNs) sensitive applications, we propose a game-theoretic protection approach for sensor nodes in a clustered WSN based on a repeated game. The proposed game model is developed for detecting malicious sensor nodes that drop the high priority packets (HPPs) aiming at maximizing the high priority data trustworthiness (HPT). Simulation results indicate the improved HPT of the proposed protection model which attains the Pareto optimal HPT as compared to a non-cooperative defense mechanism.