Research On Energy Balancing Clustering Routing Algorithm For Wireless Sensor Network

Wireless Sensor Networks(WSN) is composed of a large number of Sensor nodes, Through collaborative communication between sensor nodes to monitor the area for data collection, processing and transmission integration, and finally sends these data to the information by monitoring. Routing protocol is the foundation of wireless sensor network, a good routing can reduce the network energy consumption, prolong the network survival cycle, so the design of efficient routing protocol has become a key technology in wireless sensor network. In this paper, through the analysis and comparison of several typical routing protocols of wireless sensor network, Researches on LEACH protocol, and make corresponding improvement to its shortcomings, clustering routing algorithm proposed a multi cluster head double working mode. The paper’s work is as fellow :⑴ Analysis of the domestic and international research status of the topic, and the related content of WSN in detail, the content includes the WSN system structure, key technology, application field, evaluation system and so on.⑵ According to the routing protocol in WSN, separately elaborated branch routing protocol and flat routing protocols of the difference, and analyzes the working principle and process of several typical routing and comparison of their performance, and then takes LEACH as the main research object, the network structure, working process and the advantages and disadvantages are analyzed.⑶ Based on inheriting the advantages of LEACH, The improved algorithm for the following improvement on LEACH protocol: to solve the problem of single cluster head premature demise due to larger energy consumption, multi-cluster-heads and double working modes is used to share the load of single cluster head; to balance energy consumption of network nodes, PSO is used to optimize cluster head election, and head election considers location and residual energy of nodes fully; data transmission routing among clusters is established to reduce energy consumption of inter cluster communication.⑷ Thought simulation of the improved algorithm, and then the testing agency with several existing algorithms are compared and analyzed, the analysis results show that the improved algorithm effectively reduces the network energy consumption, prolong the network life cycle.