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In today’s world, a major challenge is to conserve and make optimal use of energy. This is a critical matter in wireless sensor networks due to their wide application in different areas. More importantly, scant attention has been paid to the use of node energy for certain applications in such networks. This study used the Shuffled Frog Leaping Algorithm (SFLA) to propose a Fuzzy Multi-hop clustering protocol (FMSFLA). The SFLA is used for automated configuration and optimization of the rule-base table in a fuzzy inference system and five adjustable parameters in two phases, i.e. Cluster Head (CH) selection and parent selection, based on application features. The proposed protocol (FMSFLA) considers effective parameters including energy, distance from the base station (BS), the number of neighboring nodes, real node distance from the BS, mean route load, delay, overlap, and the problem of hot spots, to achieve …