A Novel Coverage Optimization Strategy for Heterogeneous Wireless Sensor Networks Based on Connectivity and Reliability

To overcome the problems of coverage blind areas and redundancy when sensor nodes are deployed randomly in heterogeneous wireless networks (HWSNs). An optimal method for HWSNs based on an improved social spider optimization (SSO) algorithm is proposed, which can reduce energy consumption improve network coverage. First, a mathematical model HWSN established, complex combinatorial problem. global convergence speed proposed algorithm, chaotic initialization used to generate initial population. In addition, SSO has poor search ability, enhanced by improving neighborhood search, matching radius. iterative process, solution ultimately obtained simulating movement law colony, i.e., according cooperation, mutual attraction, mating process female male spiders. chaos, namely CSSO apply deployment sensory HWSNs. On this basis, goals costs. The plan searched via effectively prevents spots network.