A Self-Adaptive Wireless Sensor Network Coverage Method for Intrusion Tolerance Based on Particle Swarm Optimization and Cuckoo Search

The sensor network coverage optimization process is vulnerable to be attacked or invaded. Therefore, in the case of wireless sensor network under attacks but also able to ensure secure communications and efficient and reliable coverage is a major problem. In this paper, we through the combination of trust management model and heuristic optimization Particle Swarm Optimization and Cuckoo Search, proposed a sensor network security coverage method based on trust management of intrusion tolerance. This method evaluate the trust value of the nodes through their behavior at first, and then adjust the perception radius and decision-making radius. Finally, combine PSO and CS serial optimization in order to achieve the intrusion tolerance for efficient adaptive coverage. By comparing the simulation with a range WSN covering mechanism, this method has certain advantages over the performance of the algorithm, and in the case of the invasion can effectively protect the safety of the overlay network. The simulation results show the effectiveness of the algorithm.