Ameliorate the performance using soft computing approaches in wireless networks

<span lang="EN-US">Wireless sensor networks are an innovative and rapidly advanced network occupying the broad spectrum of wireless networks. It works on principle “use with less expense, effort more comfort.” In these networks, routing provides efficient effective data transmission between different sources to access points using clustering technique. This work addresses low-energy adaptive hierarchy (LEACH) protocol’s main backdrop choosing head nodes based a random value. this, soft computing methods used, namely fuzzy approach, overcome this barrier in LEACH. Our approach’s primary goal is extend lifetime energy consumption by appropriate node each cluster parameters. The proposed algorithm focused two inference structures, Mamdani Sugeno logic models scenarios, respectively. We compared our approach four existing works, conventional LEACH, LEACH method, multicriteria delegation, fuzzy-based (FEECA) network. scenario protocol approaches better than regarding stability, survivability, consumption.</span>