Abstract
In this world of Unmanned Aerial Vehicle, Flying Adhoc Network is the growing field, which is based on unpredictable and dynamic topology, high mobility of nodes and 3-D movement. FANET is used in wide range of civil and commercial applications. The applicability of FANET encourages the difficulties in the development of network connection. It requires special purpose protocols for routing the UAV in any rigorous condition and environment. Adhoc On-demand Distance Vector is a well established reactive routing protocol, which is well affected in large and multi-hop networks. AODV protocol does not include the path accumulation and multi-path routing features, as the other reactive protocol like Dynamic Source Routing protocol supports. AODV protocol need to be improve because of any link failure occurs between any two intermediate nodes.
In this work, we used Hybrid ANT Colony Optimization (HACO) Routing Algorithm for AODV protocol improvement. HACO algorithm enables us in selecting two optimal path for any possible routes between a pair of nodes. After including this algorithm, AODV protocol supports path accumulation and multi-path routing features. We build a prototype of this work in OMNet++ Simulator and performs different simulation for various test conditions. Then, We compares the traditional AODV protocol with this improved version of AODV protocol(AODV-HACO) under different performance parameters. We find out 6.56% improvement in traditional AODV to get Path accumulation and Multi-Path routing for FANET. With this improvement, we find high Packet Delivery Ratio (PDR) and Throughput as compared to normal AODV. Furthermore, we also measures low Average Delay for improved AODV-HACO from normal AODV.
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Gupta, T., Dadoria, A.K., Shrivastava, L. (2023). Hybrid ANT Colony Optimization Routing Algorithm for AODV Protocol Improvement in FANET. In: Garg, L., et al. Key Digital Trends Shaping the Future of Information and Management Science. ISMS 2022. Lecture Notes in Networks and Systems, vol 671. Springer, Cham. https://doi.org/10.1007/978-3-031-31153-6_42
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