The Research Of An Eenergy-aware Clustering Topology Based On Gradient For WSN

Wireless Sensor Networks(Wireless Sensor Network, WSN) integrated embedded systems, wireless communications, modern networking and other advanced technology has become a hot research direction and areas. The information collected by arranging number of sensor nodes in the monitored area, then with the way of self-organizing and multi-hop communication methods sent to the client. Wireless Sensor Network can collect and monitor the information from the monitoring area such as temperature, humidity and so on, which has been widely used in military, medical, industrial, industrial and agricultural production, environmental protection and other fields.Based on its own characteristics, the routing technology of Wireless Sensor Network compared with the existing network routing technology are quite different. Since the energy of a sensor node is limited, so as far as possible to reduce energy consumption and prolong the network lifetime become the critical issue for designing the routing protocols of Wireless Sensor Network. This paper through summarizing the results of previous studies, integrating distance gradient optimization and energy-aware thoughts, proposed an Energy-aware Clustering Topology Algorithm based on Gradient for Wireless Sensor Networks.ECTAG algorithm is a distributed algorithm for cluster competition and information forwarded, which has the main parameters is the ratio of the residual energy of the node itself and the average residual energy of neighbor nodes, and the optimization parameters is the distance gradient of node. Firstly, this paper defines the network and energy model, variables and parameters such as packet messages, then expounds the algorithm implementation process in detail, is designed the strategies to compete head cluster node into the cluster and forwarding tree construction, finally, the performance of the algorithm is proved from the perspective of theoretical calculations and simulation analysis.By proving shows, ECTAG algorithm preserves the advantage of the distributed algorithm, which is fast response and easy to extend, and through the combining of energy-aware and gradient optimization ideas, makes the number of the cluster near the base station much less than that far away from it, optimizes the forwarding tree structure, solves the network “hot zone” problem, finally achieve the goal of balanced energy consumption of each cluster head and extend the network lifetime.