Coverage optimization Based on Immune Clustering Topology in Wireless Sensor Networks

Abstract

Characteristics of wireless sensor network and working scenario of wireless communication great affect clustering topology and coverage performance, furtherly affect transmission reliability and robustness of the network. Biological immune algorithm is adopted to solve issues of clustering topology control and coverage optimization in wireless sensor network which is deployed by the static and mobilizable nodes. Immune Clustering and Coverage optimization algorithm (ICCO) is proposed which includes Immune Clustering optimization algorithm (ICIO) and Immune Coverage optimization algorithm (ICOO). Immune efficient clustering is done on the static senor nodes and hierarchical clustering topology control is established and optimized. Locations of mobile sensor nodes are dynamically adjusted by immune algorithm to realize the maximum value of coverage which is a multi-objective optimization issue. Mathematical model is established to analyze the performance of network including the convergence, energy consumption and area coverage. Simulations show that ICCO has realized the maximum coverage and robust topology with improved performance of fault tolerance by mobilizable nodes.