An Efficient Unsupervised Learning Model For Routing Protocol
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-3 |
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| Year of Publication : 2019 | ||
| Authors : P.Bharathi, B.Ramadevi, Ashwini M.S, N.Sekhar kumar, D.L.Santoshi | ||
| DOI : 10.14445/22312803/IJCTT-V67I3P112 |
MLA Style: P.Bharathi, B.Ramadevi, Ashwini M.S, N.Sekhar kumar, D.L.Santoshi, "An Efficient Unsupervised Learning Model For Routing Protocol" International Journal of Computer Trends and Technology 67.3 (2019): 65-68.
APA Style:P.Bharathi, B.Ramadevi, Ashwini M.S, N.Sekhar kumar, D.L.Santoshi, (2019). An Efficient Unsupervised Learning Model For Routing Protocol. International Journal of Computer Trends and Technology, 67(3), 65-68.
Abstract
We propose an empirical model of energy efficient routing protocol for data transmission between the source nodes to destination node between the intermediate nodes. Every node runs at some physical location i.e port number and data packet can be transmitted between the nodes, topology can be defined by router and cost computation model computes the best path efficiently to transmit. We are proposing a cluster model to optimize the route efficiency and the parameters considers the energy efficiency after cluster implementation. We are improving the topology work with parameters of signal strength and channel capacity.
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Keywords
channelstrength, signalcapacity, port number, cluster model.