Research Of Intelligent Optimization Routing Algorithm For Wireless Sensor Networks

With the rapid development of information technology,Wireless sensor networks as one of the emerging technology,its development and widely application produced a tremendous impact on the people's social life, has attracted worldwide attention. In wireless sensor networks, the energy of nodes deployed in monitoring area is limited, and it's inconvenient to replace batteries.Energy is an extremely important resource for wireless sensor network. Therefore, in recent years,the design of energy-efficient wireless sensor network protocol has become a research hotspot.This paper focused on wireless sensor network routing protocol research, the main work is as follows:1. The improved protocol based on LEACH protocol is proposed. After analyzing clustering algorithm and working process of LEACH protocol, improved cluster head selection threshold of LEACH protocol, and considering the residual energy of the nodes and location information of nodes to design a non-uniform cluster strategy. When using a single-hop communication between the cluster head nodes and the Sink node will produce the problem of excessive energy consumption. When cluster head nodes in communication with the base station,the multi-hop communication system is introduced. The improved protocol, LEACH protocol, and EEUC protocol were compared on MATLAB experimental platform. Simulation results verify the superiority of the improved protocol based on LEACH protocol in all aspects.2. For event-driven wireless sensor networks, proposed a Mobile Agent routing algorithm based on ant colony strategy. Mobile Agent (MA) is a program entity. If nodes in an area generated data,the sink node generated MA and determined the optimal route based on the current network status. In this paper, ant colony algorithm is used to calculate the route of mobile agent.The new algorithm designed a probability model that search the optimal path and proposed a method that repair invalid path. Using MATLAB software analyzed the new algorithm and the AS algorithm. Simulation results verify convergence performance and searching the optimal solution performance of the new protocol.