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Lifetime expansion and balanced energy utilization among sensor nodes broadly is a significant problem in the sensor networks. Due to the battery's limitations, equal energy utilization between the sensors is necessary to prevent excessive energy consumption. Metaheuristic methods are a well suitable in such issues, as heuristic calculations might transform into NP-hard problems. CSO proved to establish a good equilibrium between determinacy and randomness for finding the optima. In this paper, we proposed a hierarchal ordered chicken swarm optimization (CSO) based routing and clustering approach among sensor nodes. In this manner, firstly we proposed a CSO based cluster head (CH) selection algorithm which considered remaining energy of the nodes, node’s degree, and distance of the node to the sink node (SN). Furthermore, CSO is applied for next-hop selection for data transmission to the destination node. The evaluated results indicate that the suggested scheme succeeded to diminution the energy depletion and extend the network lifespan in comparison to state-of-the-art algorithms.

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