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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.

Keywords

Routing, MWSN, Energy, Delay, Hybrid, Optimization, Simulator, Network

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Performance Enhancement of Mobility-Enabled Wireless Sensor Network Using Sophisticated Eagle Search Optimization-Based Gaussian Ad Hoc On-Demand Distance Vector (SESO-GAODV) Routing Protocol

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Authors

V. Veerakumaran ¹, Aruchamy Rajini ¹

Affiliations
1 Department of Computer Science, Nallamuthu Gounder Mahalingam College, Pollachi, Tamil Nadu, IN

Source

International Journal of Computer Networks and Applications, Vol 10, No 5 (2023), Pagination: 816-833

Abstract

The research focuses on enhancing the performance of Mobility Enabled Wireless Sensor Networks (ME-WSNs) through the introduction of a novel routing protocol named Sophisticated Eagle Search Optimization-Based Gaussian Ad Hoc On-demand Distance Vector (SESO-GAODV). ME-WSNs pose unique challenges due to their dynamic and rapidly changing network topologies. To address these challenges, SESO-GAODV leverages the intelligent optimization techniques of Sophisticated Eagle Search Optimization and the dynamic route discovery capabilities of Gaussian Ad Hoc On-demand Distance Vector (GAODV). The proposed protocol undergoes extensive evaluations and comparisons with other existing routing protocols. Through comprehensive performance analysis, SESO-GAODV demonstrates superior results, including reduced delay, increased throughput, minimized packet loss, and lower energy consumption. The protocol's adaptability to changing network conditions and efficient handling of node mobility contribute to its energy-efficient nature, making it a promising solution for enhancing data transmission efficiency and reliability in ME-WSNs. SESO-GAODV's ability to optimize energy consumption ensures a prolonged network lifetime, facilitating seamless communication and optimized network performance in dynamic and challenging environments.

Keywords

AODV, Eagle Search Optimization, Gaussian, ME-WSNs, Routing, Sensor Network.

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