基于先进鹰搜索优化的高斯自组织按需距离矢量(SESO-GAODV)路由协议增强移动无线传感器网络性能

V. Veerakumaran, Aruchamy Rajini
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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
– 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.
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来源期刊
International Journal of Computer Networks and Applications
International Journal of Computer Networks and Applications Computer Science-Computer Science Applications
CiteScore
2.30
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发文量
40
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