SSMA: simplified slime mould algorithm for optimization wireless sensor network coverage problem

Wireless sensor network (WSN) coverage problem is to think about how maximize the obtain reliable monitoring and tracking services with guaranteed quality of service. In this paper, a simplified slime mould algorithm (SSMA) for solving WSN proposed. SSMA, we mainly conducted 13 groups WSNs optimization experiments compared them six well-known meta-heuristic algorithms. The experimental results Wilcoxon rank-sum test show that proposed SSMA generally competitive, outstanding performance effectiveness. We could be helpful effectively control nodes energy, improve perceived extend survival time.