Hybrid Optimization-Based Efficient Routing Protocol for Energy Consumption Minimization in Mobile Wireless Sensor Network

Abstract

– Mobile Wireless Sensor Network (MWSN) is a dispersed network having autonomous sensor nodes which monitors physical occurrences or environmental variables in real-time. Most MWSNs have limited energy, so energy efficiency is critical. A node’s data will be routed by one of two standard methods: single-long-hop or short-multi-hop routing paths. The quantity of energy required to deliver a packet grows directly proportional to the packet’s travel distance in MWSN. Single-hop communication in MWSN, on the other hand, is typically relatively energy-intensive. The nodes located nearer to the sink are considerably perform well than the rest of the nodes in MWSN because of the multi-hop connection, resulting in a shorter lifespan for the MWSN. In this paper, Hybrid Optimization-based Efficient Routing Protocol (HOERP) is proposed to minimize the energy consumption in MWSN. HOERP involves grey wolf optimization and particle swarm optimization, where local search is done by grey wolf optimization and the global search optimization is done by particle swarm optimization. Utilizing the nonlinear parameters in HOERP assist in identifying the optimized cum successful route leading to consume less energy. HOERP is evaluated in NS3 using the metrics standardly used in network-oriented researches. Result highlights that HOERP consumes less energy to deliver data packets than the current routing protocols.