Mitigation of Interference using HH-NBC,TDMA and Sea-lionoptimization techniques in Underwater Sensor Networks

Abstract

In order to better understand the vast aquatic environment, research on wireless sensor networks underwater has recently been done a lot of research in academia and industry. The Underwater world can easily observe remotely from an unknown location with some risks. The UWSN technology is employed over a water body to watch and surveillance. In large water bodies like rivers, salt chuck and huge pools, the data is accumulated from the region of various high points and drops of the level of the water, then dispatched to the exterior sink. Underwater transmission differs from terrestrial communication because of its high fading and low communication range.In place of this, a phonic medium is positioned to transfer data more efficiently on the water surface than other methods. To communicate and send the information accurately from the underside about the ocean to the sinks from the surface,hop growing is implemented using different techniques. Routing and Energy Efficiency is considered a highly challenging area of UWSNs. Energy-efficient routing is regarded as the foremost difficult task. Sensor networks primarily operate in complex and dynamic environments, and routing becomes tedious because the network size increases. In an underwater sensor network, there are so many challenges. Still, interference is a significant issue in transmitting signals in our proposed work to overcome signal interference using various approaches. Our proposed work follows: first, nodes will deploy in a non-distribution manner, then all nodes are clustered, and a cluster head has been chosen using the HH NBC algorithm. Finally, to overcome signal interference using TDMA combined with sea lion optimization. In this paper, we overcome inter-channel interference avoidance. If you overcome signal interference to improve network performance and lifetime. We compare our proposed to existing algorithms, and simulation results are best to compare with existing ones.