Energy consumption is a critical consideration in mobile ad hoc networks because the majority of mobile nodes run on low battery resources. A hectic problem was the minimization of energy, which was solved by the use of multipath routing protocols. This article proposes an energy-efficient multi-path routing protocol supported by the MANET optimization algorithm. The energy efficiency within the MANET is efficiently achieved by the use of cluster head selection with fuzzy clustering and fuzz NB. Multipath routing can be achieved by integrating the bird swarm optimization algorithm (BSA) with the whale optimization algorithm (WOA), which is called the Bird Swarm-Whale Optimization Algorithm (BSWOA). Optimal route selection is predicated on fitness variables like connectivity between the nodes, energy consumption, the maximum trust value of the route, and throughput. In comparison to existing methods, the suggested BSWOA obtained a minimum energy consumption of 8.72 J, a minimum delay of 0.00333 msec, and a maximum throughput of 0.912 bps.

MANET’S are a kind of Wireless ad hoc networks. The nodes in the networks are randomly move to different directions, self configurable and the network topology is various continuously and its act as a point-to-point, self-organisable, selfhealing network.The network that assembled as an integral will be easily motile along with the nodes available in the network be capable of diagnosing the existence of remnant nodes and implement the establishment of decisive network to facilitate communications. Large networks are divided into various subnetworks and this segregation is called clustering which plays a compelling role in ad hoc networks. Clustering technique was primarily implemented to decrease the consumption of energy, efficient realization of MAC is enhanced, for security mechanisms and gathering of data. A mob of nodes that are interconnected together are called cluster. A committed node consisting of nodes that are interconnected is defined as CH (Cluster Head). Cluster head is crucially helpful for operating network in a desired way.This sweeping survey cynosures principally on the different clustering, Cluster head selection methodologies and compare with the proposed Fuzzy clustering with optimized cluster head selection method in terms of delay, energy, and throughput parameters