CHAOTIC BOBCAT OPTIMIZATION ALGORITHM (CBOA) BASED ENERGY EFFICIENT CLUSTERING ROUTING PROTOCOL FOR UNDERWATER WIRELESS SENSOR NETWORKS

Abstract

The Underwater Wireless Sensor Network (UWSN) was created since there is a rising need for real-time data collection, remote monitoring, and autonomous operation in underwater environments.So, the main things to think about in a UWSN are how long the network will last and how much energy it would need. The routing protocol for a UWSN is in-charge of finding the optimal method to transport data packets to the surface destination in a way that is both fast and effective. Clustering and routing methods can help UWSNs use less energy. A new protocol for UWSNs introduces CBOA-MHDT - Chaotic Bobcat Optimization Algorithm-Multi-Hop Data Transmission. The CBOA-MHDT technique chooses cluster heads (CHs) and groups them into clusters based on things like how much energy is left, how far apart the clusters are, and how far apart the clusters are from each other. The CBOA method uses the Bobcat Optimization method (BOA) and chaos to make optimization work better. The hunting techniques of bobcats inspired BOAs, and the addition of chaos is meant to make the optimization process better at finding and using resources. After that, each cluster gets a CH to gather data packets from sensor nodes that are distributed around at random. Things like residual energy, distance, and node degree, were considered by the suggested method, which finds a fitness function.MHDT does not need sensor nodes and the sink to talk to each other directly. It passes the data across several intermediate nodes instead. Simulations have been executed in Matrix Laboratory R2021b (MATLABR2021b) to assess and contrast the proposed algorithm's efficacy against established clustering techniques, utilizing metrics such as PLR - Packet Loss Ratio, network lifetime, throughput, Residual Energy, and PDR - Packet Delivery Ratio.