Energy Efficient Coyote optimizer-based Multipath Routing in MANET

MANETs use multi-hop wireless connections to connect nodes, and the topology often changes as nodes move around. Therefore, dynamic routing techniques are required. A multipath routing strategy all better services network factors, including delay, energy consumption, and network throughput in dynamic contexts, than using a single path routing system. Each protocol addresses a specific use case in a networking environment. This can be caused by various factors, such as random loss; delaying packet delivery due to this data loss would harm real-time applications. This study offers guidance on how to deal with the confluence of serious issues that plague MANETs. Among the Ad-hoc On-demand Multipath Distance Vector (AOMDV) routing protocol, this study proposes Coyote optimizer-based Multipath Routing to choose the most efficient route from the available options. The suggested optimizer has a novel algorithmic structure and techniques for balancing exploitation. When data packets are randomly lost, these protocols use an optimization procedure to identify well-organized routes with the highest fitness values, resulting in the least data traffic, shortest path, and residual energy possible. Here, a mechanism is introduced that allows the suggested model to use the TCP Congestion Control Improvement for Random Loss (TCP CERL) to improve the effective route.