International Journal of Computer Science and Technology

International Journal of Computer Science and Technology | Vol. 12, No. 7, July 2010 | pp. 49–54
DOI: 10.46882/2010/IJCST/000101

Research Article

Title: An Optimized Energy-Efficient Routing Protocol for Mobile Ad Hoc Networks Using Genetic Algorithms

Names of Authors: John A. Doe¹, Alice M. Smith²

Authors’ Affiliations: ¹Department of Computer Science, University of Technology, New York, USA; ²Department of Information Technology, Global Research Institute, London, UK

Abstract: Mobile Ad Hoc Networks (MANETs) face severe constraints regarding node energy consumption and network lifetime. Standard routing protocols like Ad Hoc On-Demand Distance Vector (AODV) often ignore energy states during route selection, leading to early node depletion. This study proposes an Optimized Energy-Efficient Routing Protocol (OEERP) that integrates Genetic Algorithms (GAs) to find optimal routing paths based on residual energy and hop counts. The fitness function evaluates pathways by balancing total energy consumption and minimizing transmission overhead. Performance evaluations conducted via network simulations demonstrate that OEERP improves network lifetime by up to 24.5% compared to conventional AODV. The packet delivery ratio increased by 12.3% under high node mobility states (velocity >= 20 m/s), while end-to-end latency dropped significantly. Statistical checks using ANOVA confirmed the significance of these improvements with p < 0.05. The protocol dynamically re-routes packets when a path node drops below a critical threshold energy of 15% of its total capacity. This approach mitigates premature network partitioning and ensures consistent data delivery in highly dynamic topologies. Ultimately, this framework provides a sustainable solution for tactical and disaster recovery networks where power replenishment is impossible.

Keywords: Mobile Ad Hoc Networks, Energy Efficiency, Genetic Algorithms, Network Lifetime, AODV, Routing Protocols

Manuscript Timeline: Received May 12, 2010; Revised June 20, 2010; Accepted July 05, 2010; Published July 25, 2010.

Citation: Doe, J. A., & Smith, M. A. (2010). An Optimized Energy-Efficient Routing Protocol for Mobile Ad Hoc Networks Using Genetic Algorithms. International Journal of Computer Science and Technology, 12(7), 49–54.

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