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The core objective of the wireless sensor networks (WSNs) in the livestock industry is monitoring the state and activities of different animals for their well‐being. Being energy‐constrained, the consumption of these tiny devices needs to be optimized. Several techniques have been developed for making clusters in WSNs. The sensor nodes attached to the animals are mobile and dynamic in nature. Cluster heads (CHs) are selected to manage communication within a cluster. For efficient working of a network, the lifetime of clusters should be longer and there must always be a minimum number of clusters to make a network operational. This paper presents a metaheuristic artificial intelligence technique based on the social behavior of gray wolves to reduce the energy consumption of WSNs in the livestock industry. This nature‐inspired clustering algorithm provides the robust and smooth communication for WSNs in …