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Abstract Wireless ad hoc networks are decentralized networks in which mobile user equipment nodes dynamically form connections. This paper presents adaptive opportunistic routing with an analytical hierarchy process for reliable and efficient path selection in wireless ad hoc networks an optimized forwarder selection approach using adaptive opportunistic routing enhanced by the analytical hierarchy process. The adaptive opportunistic routing algorithm evaluates the signal strength, link quality indicator, and packet delivery ratio to dynamically choose the most reliable forwarder node, ensuring robust and efficient data transmission. The integration of analytical hierarchy process allows systematic decision-making based on multiple criteria to optimize network performance. The results indicate that the proposed AR2PS protocol significantly improves network performance compared to ETBR, CCAN, and HANA. Specifically, AR2PS decreases the average end-to-end delay by 38.33% and lowers the packet dropping ratio by 34.7% in network depending on packet intervals. Furthermore, AR2PS achieves up to 10.31% higher throughput and increases the packet delivery ratio by 9.15%. Overall, the AR2PS routing scheme substantially enhances the network's performance across multiple metrics.
Immanuvel et al. (Wed,) studied this question.