Improvements of Wireless Network Routing Clustering Algorithm

According to the agreement of wireless network base layer, and for the issues of energy consumption in the network search and node inequality, this paper introduced routing clustering algorithm, which is improved by the acoustic search algorithm, to make parameter optimization settings with nodes, node distance and cluster distance and decrease routing nodes allocation time so as to reduce the network search time, saves the transmission energy consumption and increase operational efficiency. Experiments proved the feasibility of optimization algorithm proposed in this paper, which has realized the practical application effect on the rational optimization of routing clustering. According to the LEACH protocol cluster random, the cluster head distribution is uniform, resulting in the network life cycle is too short, put forward a hierarchical clustering routing algorithm based on wireless sensor (Multi-Energy balance clustering hierarchy, MEBC). In the algorithm, the sensor nodes are divided into different levels, in order to hop and energy as the transmission path the establishment of standards, through the autonomy of base station and the multi hop transmission to route choice, rather than direct transmission of multi cluster head sensor node and the base station node, it can effectively prolong the network life cycle.