Abstract
Next-generation computing paradigms are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. The self-organized, decentralized and infrastructure-less features of mobile ad hoc networks (MANETs) established their importance for communication in indoor and outdoor environments. In MANET, a broadcast storm causes network issues as there are redundant broadcasts and packet collisions. Traditional broadcast schemes have focused on avoiding broadcast storms by inhibiting some rebroadcasts. Another issue is the link failures caused by node mobility and their energy exhaustion. In this research, we propose two schemes to address these network challenges. The first approach refines the counter threshold based on neighborhood, mobility and energy parameters of the node and makes use of the refined thresholds to make the broadcasting decision. The second proposed scheme exploits TOPSIS multiple criteria decision-making model to make broadcast decisions emphasizing on neighborhood, mobility and energy criteria of the mobile node. The proposed schemes perform best in various network densities as compared to ad hoc on-demand distance vector (AODV) routing by increasing lifetime of network and decreasing delay, packet dropping and energy consumption, while achieving a good packet delivery ratio.
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Deshmukh, M., Kakarwal, S.N., Deshmukh, R., Kurmude, D.V. (2020). Multi-criteria Decision Making for Routing Process in MANET. In: Dey, N., Mahalle, P., Shafi, P., Kimabahune, V., Hassanien, A. (eds) Internet of Things, Smart Computing and Technology: A Roadmap Ahead. Studies in Systems, Decision and Control, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-39047-1_11
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