Optimized Network Lifetime And Path Loss Of Underwater Wireless Sensor Network (UWSN) Using Multi-Objective Multi-Verse Optimization Algorithm

Abstract

In ocean scanning applications, such as ocean tracking, pollution sensor, ocean resource control, underwater system maintenance, etc, the underground wireless sensor networks (UWSNs) are commonly used. Due to the problems of underwater communication, underwater Wireless Sensor Networks (UWSN) have become a common research subject. One of the key purposes of an underwater network is to evaluate the improved path through the sensor nodes to the onshore station for the assignment of monitoring data. The transmission cycle requires energy from every node and energy is limited in UWSNs. The most demanding task in the underwater wireless sensor network, therefore, is energy efficiency. This paper focuses primarily on coping with the energy usage and network life.This paper proposes a Multi-Objective Multi-verse Optimization Algorithm (MOMVO) to optimize network life, path loss and minimize power consumption in UWNNs. In this paper, a comparative analysis of hierarchical routing protocols such as the stable election protocol (SEP), the Zonal-Stable Election Protocol (Z-SEP) and the LEACH-based MultiObjective Multi-verse Optimization (MOMVO) is presented in a variety of performance metrics such as live nodes per round, base station packets (BS) per round, and dead nodes per round.