QOS Development based on Link Prediction with Time Factor for Clustering the Route Optimization and Route Selection in Mobile Ad Hoc Network
T. Ramani1, P. Sengottuvelan2
1T. Ramani, Research Scholar, Bharathiar University, Coimbatore (Tamil Nadu), India.
2Dr. P. Sengottuvelan, Associate Professor & Head, Department of Computer Science, Periyar University, PG Extension Center, Dharmapuri (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 08 May 2019 | PP: 362-368 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E12140275S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The clustering has been broken down for some issues in Mobile ad hoc network, and there are numerous methodologies has been talked about for the issue of node determination and travel time prediction, however, endures with the exactness and time prediction issues for QoS improvement in the network. So only we propose a novel approach which performs Link Prediction Based Route Clustering Optimization (LPRCO) for QoS Improvement utilizing which a single route will be chosen for better data transmission. The proposed technique keeps up a record about the route at each time window for every node. We assess the activity design at every node at each time window utilizing for the time factor, which the route movement factor will be processed for each route accessible for different goal from a beginning stage. The strategy keeps up different data about the network like the number of nodes, number of the link at every node and the separation between the nodes. Every one of these components is utilized to process the link movement factor at a specific activity channel at any point in time. Based on the element, we record the transmission time at each link at various time window to choose the single route to achieve any goal. The proposed approach has created effective outcomes in route choice and travel time prediction for improving QoS in the network.
Keywords: Route, Cluster, Link, Optimization, Network, Traffic, Time.
Scope of the Article: Mobile Adhoc Network