Wireless Sensor Network Energy Saving Strategy Based on Intelligent Computing

Most of the existing various kinds of clustering algorithms, it is only in the process of clustering by specific routing clustering algorithm select appropriate cluster head to reduce the energy consumption of the whole sensor network, does not take into account numerous due to high density network node in the network, there is a large number of redundant nodes in the cluster. Combined energy consumption of node scheduling and within clusters, by using the improved fish algorithm to meet on the precondition of effective coverage of monitoring area node scheduling, so as to reduce the network energy consumption and prolong the network lifetime to the purpose.