Abstract:

Abstract The Cloud-Assisted Mobile Ad hoc Network encounters various challenges because of the unpredictable movement of nodes, leading to frequent link failures. This instability leads to degraded network performance due to high energy consumption during route discovery when communication loss occurs between the Indirect and the Super Peer, disrupting the Super Peer's ability to serve the request of Indirect Peer. To reduce the high energy consumption, we propose EABRT-TOPSIS, an enhanced AODV routing protocol that integrates TOPSIS, a multi-criteria decision-making method to maintain a backup routing table with alternate optimal routes for the Indirect Peer. This algorithm considers hop count, residual energy, and bandwidth as decision criteria for evaluating and ranking the alternate routes. Our proposed work optimizes the energy usage, by selecting an optimal route with highest rank among all the available alternate optimal routes in the backup routing table to connect Indirect Peer and the Main Peer during link failure. This improves the network performance and reduces the energy consumption caused by communication loss. We evaluate our proposed algorithm using the NS-2.35 simulator. Our results demonstrate significant improvements in key performance metrics like throughput, end-to-end delay, overhead, and energy usage compared to the traditional AODV and AOMDV routing protocol which highlights the proposed approach that mitigates the impact of link failures and energy depletion, resulting in an energy-efficient communication.

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