Secure Routing Based On Multi-objective Ant Colony Optimization Algorithm For Wireless Sensor Networks

Wireless sensor networks(WSN)is a wireless multi-hop self-organization network which is composed of a large number of cheap and resource limited micro sensor nodes,and has a broad application prospect in the industrial,military,medical and other fields.Due to the limited resources and the routing forwarding function of the nodes,the security of routing protocol is the key and difficult point in the routing design to realize the safe and reliable transmission of network data.Based on this,this paper focuses on the research of routing technology in wireless sensor networks,from the perspective of improving network security and reducing the energy consumption of the network,the research work carries out as the following based on ant colony optimization algorithm:(1)The trust evaluation mechanism is studied.The comprehensive trust evaluation value is calculated by weighting the direct and indirect trust values through monitoring the behavior of adjacent nodes.Aiming at the unreliability of indirect evidences conflict,the node trust model is deeply researched by using the improved D-S evidence theory.Based on the direct trust and indirect trust,conflict processing mechanism and D-S evidence combination rule,this paper establish an evaluation model of D-S evidence theory for measuring the reliability of nodes and avoiding malicious nodes.(2)A node credible secure routing protocol is researched based on the improved ant colony algorithm.The node trust evaluation mechanism is added into the ant colony routing protocol.The node's trust value is introduced into the ant colony routing algorithm as a heuristic factor to ensure the safety of the next hop node selection.Meanwhile,the residual energy,the trust value of nodes and hops are also involved into the node state transition rules and pheromone update calculation to build an energy-efficient and node credible security routing.(3)A multi-objective node credible security routing protocol is proposed.Aiming at the defects of single objective solution,in order to solve the two major problems of resource constrained and security of WSN,the Pareto multi-objective strategy has been designed.To reduce the energy consumption and improve network security,the average residual energy routing path is taken as the first objective function and the average trust routing path value is taken as the second objective function.The improved crowding distance criterion is considered to ensure the optimal solutions uniform distributed in the Pareto front.NS2 network simulator is used as the simulation tool to verify the performance of the algorithm.Compared with the existing routing algorithms,the results are obtained as follows: 1)The trust evaluation model can evaluate the security of network nodes and avoid malicious nodes;2)The node credible ant colony security routing protocol has good performance in maintaining the network performance under the black hole attack;3)The multi-objective node credible ant colony security routing has better improvement in the network packet loss rate and energy consumption,and can also reduce the cost of network source.