Energy saving becomes a central issue in the design of wireless sensor networks routing algorithms. The objective of this study is to maximize the survival time of wireless sensor networks routing with a sink node by developing an efficient routing algorithm based on the elite hybrid metaheuristic optimization algorithm. The proposed algorithm comes as an original method that innovatively brings together the global search abilities of the particle swarm optimization algorithm, difference operator of differential algorithm and pheromones of ant-colony optimization algorithm in order to avoid local search and retain diversity of the population. As a result, the method quickly finds an optimal solution. A novel routing algorithm based on the proposed elite hybrid metaheuristic optimization algorithm is designed. Comprehensive simulation studies show that the proposed algorithm can increase maximum lifetime of wireless sensor networks by 38% in comparison with the results being produced with the state-of-the art algorithm routing algorithms based on other population-based optimization algorithms.
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