Performance Evaluation of Parameters in Enhanced Adhoc on Demand Multipath Distance Vector (EAOMDV) Routing

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 8

Year of Publication : 2025

Authors : Singareddy Hemasri, A. Ranichitra

10.14445/23488549/IJECE-V12I8P115

How to Cite?

Singareddy Hemasri, A. Ranichitra, "Performance Evaluation of Parameters in Enhanced Adhoc on Demand Multipath Distance Vector (EAOMDV) Routing," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 8, pp. 168-175, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I8P115

Abstract:

Efficient energy utilization is a critical challenge in MANETs due to limited battery resources and dynamic topology. Multipath routing technologies have emerged as effective solutions for addressing energy consumption challenges, enhancing network performance, and improving fault tolerance. In MANETs, nodes communicate wirelessly without dedicated paths, relying on routing methods to discover the most efficient routes for packet transmission. This paper introduces an energy-efficient multipath routing protocol supported by a MANET optimization algorithm, focusing on three key routing protocols: Adhoc On-Demand Distance Vector (AODV), Ad hoc On-Demand Multipath Distance Vector (AOMDV), and Enhanced AOMDV (EAOMDV). AODV serves as a baseline for single-path routing, while AOMDV provides multipath capabilities to reduce latency and improve reliability. EAOMDV further optimizes AOMDV by integrating energy-aware mechanisms to reduce power consumption. This paper evaluates the protocols across metrics such as energy consumption, end-to-end delay, packet delivery ratio, and packet delay time through simulation-based experimentation. Results demonstrate that multipath routing, particularly EAOMDV, significantly reduces energy consumption, increasing network lifetime compared to AODV and AOMDV.

Keywords:

MANET, AODV, AOMDV, EAOMDV routing protocols, Energy Consumption and Throughput.

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