Simulation research of nodes target tracking algorithm based on clustering in wireless sensor network

Abstract

Since sensor nodes are constrained in cost and volume, they have limited ability in data storage and processing. Therefore, the routing algorithm needs lower time and space complexity for energy conservation. This article design a dynamic cluster head selection mechanism based on back-off time of residual energy of nodes, aiming at energy conservation and low complexity for the algorithm. At the phase of cluster head selection, we reduce the back-off time of nodes with more energy, so it can win the competition in cluster head selection and control the number of cluster heads, by controlling the radius of cluster lead broadcasting. Then the cluster member nodes are chosen according to the hop range to cluster head, whose weights are computed by the distance to cluster head and the residual energy. At the premise of saving self-energy, it can choose different cluster head and save the energy of cluster head to achieve global energy balance and prolong the network lifetime. The simulations verify that the improved algorithm can make reasonable distribution location of cluster head. The membership has close number and the reasonable topology ensure the global consumption of network.