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An Adaptation of Cuckoo Search Algorithm in Maximizing Energy Efficiency of Dynamic Source Routing Algorithm for Mobile AdHoc Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 9 |
| Year of Publication: 2024 |
| Authors: Adekunle A. Adeyelu, Zakka Shirley John, Samera Uga-Otor, Oyeyemi E. Elusakin, Ijeoma Rufina Godwin |
10.5120/ijca2024923442
|
Adekunle A. Adeyelu, Zakka Shirley John, Samera Uga-Otor, Oyeyemi E. Elusakin, Ijeoma Rufina Godwin . An Adaptation of Cuckoo Search Algorithm in Maximizing Energy Efficiency of Dynamic Source Routing Algorithm for Mobile AdHoc Network. International Journal of Computer Applications. 186, 9 ( Feb 2024), 29-36. DOI=10.5120/ijca2024923442
Abstract
The increasing prominence of Mobile Ad-hoc Networks (MANETs) has sparked interest in optimizing their energy consumption to prolong network lifetime and enhance overall efficiency. This study introduces another approach to address this concern through the integration of an energy-efficient routing algorithm and Cuckoo Search Algorithm (CSA). The proposed algorithm aims to optimize the routing paths of Dynamic Source Routing (DSR) within MANETs by leveraging the inherent abilities of the CSA in exploring solution spaces effectively. Traditional routing algorithms often neglect energy consumption considerations, leading to imbalanced energy depletion and reduced network longevity. In response, this study presents a solution that combines the benefits of this proactive routing strategy with the CSA's optimization capabilities. The CSA, inspired by the natural behavior of Cuckoo birds in search of optimal nests, is employed to optimize routing paths based on metrics such as energy consumption, distance, and link stability. The key innovation lies in a synergistic integration which collectively address the trade-off between energy efficiency and network performance. Through simulation and comparative analysis, the proposed algorithm's effectiveness was evaluated against conventional routing algorithm, highlighting its superior performance in terms of energy efficiency, packet delivery ratio, and throughput. Packet loss analysis and transmission count performances were also analyzed for the new paradigm. The results demonstrate that the hybrid algorithm shows a significant level of improvement over the benchmarked algorithm in terms of maintaining energy balance across nodes and prolonging the overall network's operational lifespan. This research contributes to the advancement of energy-efficient MANET routing strategies and opens avenues for future studies focused on incorporating nature-inspired algorithms into networking paradigms for enhanced efficiency and sustainability.
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