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<p>Mobile Ad-hoc Networks are dynamic and self-configuring networks where nodes communicate with each other without require for any fixed infrastructure. Quality of Service (QoS) in such networks is crucial for ensuring reliable and efficient communication. In this research, a novel approach, RS-MANET-DBO-AODV-QoS is proposed, which enhances route selection in MANETs by integrating the Dung Beetle Optimizer (DBO) with Ad hoc On-Demand Distance Vector (AODV) protocol. The proposed mechanism utilizes unique characteristics of DBO along with AODV to select the most optimal route for data delivery. Pheromone values of paths are calculated based on various metrics including congestion, E2E reliability, number of hops, remaining energy of nodes along the path. The route with higher pheromone value is chosen for transmitting data packets, thereby improving QoS in MANETs. Then evaluate performance of proposed method regards data packet delivery ratio, E2E delay, throughput, percentage of surviving nodes, complexity analysis, convergence, energy efficiency and QoS gain. Comparative analysis is conducted against existing techniques such as Energy Aware Routing through Genetic Algorithm and AOMDV in MANET (GA-AOMDV-MANET) Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network (Ant-AODV-MANET) and Multi-objective based route selection method utilizing AOMDV in MANET (MORS-AOMDV-MANET) respectively.</p>

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Enhancing route selection in MANETs: a dung beetle optimizer-AODV hybrid approach for improved QoS

  • 期刊论文

  • 发表日期：

    2026年7月21日

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  • G. Gangaprasad,
  • B. Seetha Ramanjaneyulu

摘要

Mobile Ad-hoc Networks are dynamic and self-configuring networks where nodes communicate with each other without require for any fixed infrastructure. Quality of Service (QoS) in such networks is crucial for ensuring reliable and efficient communication. In this research, a novel approach, RS-MANET-DBO-AODV-QoS is proposed, which enhances route selection in MANETs by integrating the Dung Beetle Optimizer (DBO) with Ad hoc On-Demand Distance Vector (AODV) protocol. The proposed mechanism utilizes unique characteristics of DBO along with AODV to select the most optimal route for data delivery. Pheromone values of paths are calculated based on various metrics including congestion, E2E reliability, number of hops, remaining energy of nodes along the path. The route with higher pheromone value is chosen for transmitting data packets, thereby improving QoS in MANETs. Then evaluate performance of proposed method regards data packet delivery ratio, E2E delay, throughput, percentage of surviving nodes, complexity analysis, convergence, energy efficiency and QoS gain. Comparative analysis is conducted against existing techniques such as Energy Aware Routing through Genetic Algorithm and AOMDV in MANET (GA-AOMDV-MANET) Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network (Ant-AODV-MANET) and Multi-objective based route selection method utilizing AOMDV in MANET (MORS-AOMDV-MANET) respectively.