Low-power Wireless Sensor Networks Clustering Algorithm For Optimization

With the rapid development of wireless sensor networks, many of its research achievements and applications have promoted social development, and have great value of utilization in different fields. However, wireless sensor networks have the characteristics of battery-powered, limited energy and unable recharging of node,Therefore, what we pursue is how to obtain a routing technology for balancing energy network, reducing energy consumption, prolonging the network life cycle and realizing efficient data transmission.In this paper, the current research status of wireless sensor network and several improved LEACH protocol are analyzed. It is found that there are some shortcomings in current low-power clustering protocol. Asymmetrical network clusters, the energy consumption inequality of each node and other issues make some nodes consume too much energy, which have a great influence on the network Life Cycle. In order to improve the problems of short life cycle of nodes and low energy utilization caused by the existing Clustering Routing Protocol, some major improvements are made to extend the network life cycle based on LEACH in this paper. The Innovative work of this paper is: two kinds of algorithm on low energy consumption cluster routing designed on the basis of energy and distance, node location factors, fuzzy control principle: one is the study on cluster head selection optimization strategy based on weight of NPCHS-Leach protocol, the other is based on LEACH protocol for fuzzy control. The specific works are as follows:1) Based on weight of NPCHS-Leach protocol is proposed by mainly improving LEACH protocol. Some factors such as total current energy of nodes, distance from the node to the base station,the times of cluster heads selected by nodes, the density of nodes listening are the key of selecting cluster head by NPCH-Leach protocol. We have calculated the proportion of each factor, optimized electoral formula and selected the most reasonable cluster head node. Then, the NPCHS-Leach protocol has been improved significantly compared with LEACHE protocol through the analysis of simulation results.2) LECP-FC protocol is proposed based on the theory of fuzzy control.LEACH and improved LEACH algorithm have a lot of deficiencies in the selection of cluster head, therefore, LECP-FC algorithm is proposed by the analysis of theLEACH and the improved LEACH algorithms. LECP-FC algorithm will go through two layers of screening. Threshold formulas added distance, node listening density and the times of cluster heads can choose the cluster head with greater residual energy,node load balancing, more convenient communication between cluster head and base station. It has the cluster head with longer survival time. The transmission data between clusters is not the traditional single hop propagation, and it avoids the high energy consumption generated by the telecommunication between the edge cluster head node and the base station. Finally, we have verified the performance of the algorithm by simulation experiment. It is found that LECP-FC algorithm is significantly better than the LEACH algorithm and NCHS-Leach algorithm because it can prolong 76% of its network lifetime.