An Integration of Elephant Herding Optimization and Fruit Fly Optimized Algorithm for Energy Conserving in MANET

• Published in: 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT) pp. 313 - 317
• Main Authors: Alani, Sameer, Al-dolaimy, F., Alkhayyat, Ahmed, Mahmood, Sarmad Nozad, Alsalamy, Ali, Ali, Rabei Raad, Abbas, Fatima Hashim, Salih, Anmar B., Alkhafaji, Mohamed Ayad
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09-06-2023
• Subjects: Ad hoc networks; Adhoc On-demand Multipath Distance Vector; Herding Optimization and Fruit fly Optimized Algorithm for Energy Conserving; Mobile Adhoc Network; Receivers; Routing; Routing protocols; Target tracking; Throughput; Wireless networks
• DOI: 10.1109/APSIT58554.2023.10201697

Mobile Adhoc Networks (MANETs) dynamically moving wireless networks which consists of huge number of mobile devices in infrastructure less environment. The mobile nodes in the MANETs can shows as a sender and the receiver which communicate with each other in its coverage area. To solve these flaws in MANETs in this paper a Hybrid Optimization Using Elephant Herding Optimization and Fruit fly Optimized Algorithm for Energy Conserving (HOEFEC) approach is proposed in MANETs. In the routing process, the Adhoc On-demand Multipath Distance Vector (AOMDV) routing protocol is used to facilitate communication between each of the source and destination. Through this protocol multipath communication is performed in an effective manner with balanced load. The optimization of the proposed approach is performed in two segments. They are initial shortest path finding through elephant herding optimization algorithm using fitness calculation. Secondly optimal path selection through fruit fly optimized algorithm using distance calculation. The proposed HOEFEC approach leads a way to the effective communication in VANETs. The NS2 with SUMO is performed with three parameter which are packet delivery ratio, end to end delay, routing overhead and throughput to perform the comparative analysis. The results of the proposed HOEFEC approach are compared with the HDGCO and MBOCH.