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FM—MANETs: A Novel Fuzzy Mobility on Multi-path Routing in Mobile Ad hoc Networks for Route Selection

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 127))

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Abstract

Mobile ad hoc networks (MANETs) are self-configured networks without any infrastructure-based network. The mobile nodes (MNs) are continuously deployed in an infrastructure-based network, whereas infrastructure-less network MNs are placed at random positions with mobility, i.e., movements of MNs. The major problem of ad hoc networks is routing and mobility of a node between the source and destination of a node. Due to the high movement in a wireless network, the MNs are not able to establish the connection between source and destination nodes. The network performances measures such as bandwidth and delay which are often changed due to MNs mobility, i.e., these network metrics include inconsistencies in a wireless ad hoc network. The uncertainties create a problem in the choice of the best route from the origin node to the recipient node unit. In this work, fuzzy mobility (FM) is used to resolve the issue of routing and mobility for better route selection in a wireless network. The performance results compared with the well-known existing wireless ad hoc routing protocols based on the packet delivery ratio (PDR), delay and throughput metrics. A fuzzy mobility-based selection gives better results when compared to other mobility models such as Random Way Point (RWP) and Random Direction (RD).

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Acknowledgements

The first author would like to thank the UGC-RGNF-SC for the financial assistance to do this work. The grant number is F1-17.1/2014-15/RGNF-2014-15-SC-TAM-84052 (SA-III/Website). Also, the authors would like to thank the anonym’s reviewers for the improvement of the paper.

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Correspondence to T. Sudhakar .

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Sudhakar, T., Hannah Inbarani, H. (2021). FM—MANETs: A Novel Fuzzy Mobility on Multi-path Routing in Mobile Ad hoc Networks for Route Selection. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_2

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