A novel topology optimization of coverage-oriented strategy for wireless sensor networks

Aiming at the key optimization problems of wireless sensor networks in complex industrial application environments, such as optimum coverage and reliability network, a novel topology coverage-oriented strategy for based on wolf pack algorithm is proposed. Combining characteristics structure idea redefines group’s wandering surprise behavior. A head mutation proposed, which increases neighborhood search range optimal solution, enhances uniformity distribution ergodicity ability search, greatly improves calculation speed accuracy algorithm. With same probability, cluster heads are randomly selected periodically, overall energy consumption evenly distributed to node realize balanced data member nodes complete design networks. Through simulation result analysis, compared with particle swarm artificial fish algorithm, shows its advantages terms residual node, average transmission delay, packet delivery rate, network. Among them, remaining has increased by 9.5% 15.5% network 10.5% 5.6%, respectively.