An Efficient Fuzzy Logic Controller for Enhancing the Lifetime of Mobile WSNs Through Smart Cluster Head Selection Using Sleeping Time and Mobility Factor

Wireless Sensor Networks (WSNs) are composed of energy‐constrained sensor nodes that often operate in dynamic and hard‐to‐access environments, where battery replacement is impractical and node mobility can significantly degrade network stability. Existing clustering‐based solutions frequently address either energy efficiency or mobility but rarely both in a unified and adaptive manner. Motivated by the need to simultaneously reduce energy consumption and ensure stable Cluster Head (CH) selection in mobile WSNs, this paper proposes an intelligent Fuzzy logic–based clustering framework that integrates residual energy, sleeping time, and mobility factor into the CH election process. Sleeping time is dynamically adjusted to reflect energy‐saving behavior, whereas mobility awareness prevents unstable nodes from being selected as CHs. MATLAB‐based simulation results demonstrate that the proposed approach significantly reduces energy consumption and extends network lifetime, achieving delayed node death and improved network stability compared to existing methods. This integrated design enables a unified and lightweight fuzzy framework suitable for resource‐constrained mobile WSNs.