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Optimal route and cluster head selection using energy efficient-modified African vulture and modified mayfly in manet
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Journal Article
Optimal route and cluster head selection using energy efficient-modified African vulture and modified mayfly in manet
2023
Overview
The dynamic nature of the Mobile Adhoc network (MANET) is regarded as the primary issue when routing. In MANET, Routing protocol and optimal route selection from various paths are identified for efficient routing. The major goal of this research is the shortest path determination for data transfer in a MANET. This research presents an Energy Efficient-Modified African Vulture and Modified Mayfly (E-MAVMMF) method that contains two sections namely cluster head selection and optimal route selection. In the first stage, the cluster head is selected by using the Modified African Vulture optimization algorithm (AVOA) in which Brownian motion is used so that the effectiveness of AVOA is improved and in the second stage, the optimal route is chosen using a Modified Mayfly algorithm (MMF), which is enhanced by using a modified mutation phase of Symbiotic Organism Search (SOS), which aids in obtaining the global best solution. The suggested approach is built on the NS2 platform. Various performance metrics, such as the delivery ratio of the packet, loss rate of the packet, energy, throughput, etc. are evaluated. The observed outcome shows that the suggested method E-MAV: MMF is more efficient when compared with the existing approach ANFIS-based Group teaching optimization algorithm (O-AeGTA-MANET).
Publisher
Springer Nature B.V
