Abstract
Mobile Ad hoc NETworks (MANET) are made up of mobile nodes that can freely move between two locations at any time and in any direction. The proactive ad hoc on-demand distance vectors (AODV) routing protocol is used in MANETs. The network's ability to provide high-quality services will be compromised if the links between each node do not function effectively to convey the necessary data. This problem causes less energy, low signal strength and the increase the distance between nodes. When low signal strength, less energy and large distance between each nodes exist, they make link break between the nodes. This link breakage reduces the performance of the whole networks, reduce throughput, increase packet loss, increase overhead, etc., selecting only shortest path is not enough to send data packet. Based on the above problem, this thesis proposes Link Breakage Prediction (LBP), to the link life time using signal strength and residual energy of each node before sending packets to the destination. The prediction of link breakage supports the network to save packet loss before the link going to fail. Some parameters used in this works are packet delivery ration, routing overhead, residual energy, received signal strength, end-to-end delay and throughput carried out.
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Raja Rao, P.B.V., Prasad, M., Kiran Sree, P., Venkata Ramana, C., Satyanarayana Murty, P.T. (2023). Enhancing the MANET AODV Forecast of a Broken Link with LBP. In: Reddy, V.S., Prasad, V.K., Wang, J., Rao Dasari, N.M. (eds) Intelligent Systems and Sustainable Computing. ICISSC 2022. Smart Innovation, Systems and Technologies, vol 363. Springer, Singapore. https://doi.org/10.1007/978-981-99-4717-1_6
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