A new PSO-ABC wireless sensor network coverage optimization algorithm

Based on the development of wireless communication technology, wireless sensor network (WSN) composed of micro sensors has been widely used. Aiming at the problems of uneven node distribution and energy consumption in wireless sensor networks, A PSO-ABC hybrid algorithm based on accurate perception model is proposed in this paper. The algorithm takes network coverage and energy consumption of sensor node deployment as objective optimization functions, introduces virtual force -- Molecular force, and adaptively adjusts the inertia weight of the algorithm, which can significantly improve the diversity of particles and network coverage. The communication of information by PSO-ABC makes it as efficient as possible to jump out of the local optimality and improves the convergence accuracy of the algorithm. Information exchange mechanism is used to exchange search information to avoid local optimization. On this basis, our objective optimization is to improve network coverage and reduce energy costs. By using the proposed PSO-ABC hybrid algorithm to search for the optimal deployment scheme of nodes, coverage blind areas and coverage redundancy in the network can be significantly avoided.