Prediction based Link Stability Scheme for Mobile Ad Hoc Networks
Mobile Ad Hoc Networks (MANETs) consist of mobile nodes which are not controlled by any base station. Mobile nodes act as a major role because of performing the data transmission, route discovery, route maintenance. The packet loss occurs often while the nodes are moving out of range, or the node has not enough either path and link stability or neighbor node stability. In this paper we propose Prediction based Link Stability Scheme (PLSS) to make a correct balance between stability of path, link, neighbor node and total mobile nodes to extend the network lifetime. The main of the proposed work is to reduce the packet loss and provide better stability using the stability model. The proposed scheme consists of four phases like determination of stability of neighbor node, link, path, total mobile nodes and prediction of total network lifetime. By simulation results the proposed algorithm PLSS achieves better performance in terms of packet delivery ratio, delay, overhead, network lifetime, energy consumption than the existing method LAER scheme.
Keywords: MANET, Link stability, Path stability, Mobility, packet delivery ratio, Network lifetime, stability weight, throughput, overhead and end to end delay
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ABOUT THE AUTHORS
Geetha Nair
Geetha.G received the B.E. degree in Electronics and communication engineering from M.S Bidve college of engineering,Latur,Marathwada University Maharashtra, in 1996, the M.E. degree in electronics and communication engineering (Industrial Electronics) from SJC college of engineering,Mysore,Visweshwaraya technical University,Belgaum in 2009. Currently she is working as Assistant Professor in NSS College of Engineering,Palakkad,Kerala. She has about 12 years of teaching experience, since 2000.
N.J.R.Muniraj
Dr. N.J.R.Muniraj is presently working as a Principal of Tejaa Shakthi institute of Technology, Coimbatore. He has more than 23 years of teaching and five years of industrial experience. He has presented more than 40 National and International papers and published fifteen international journal papers. His research area includes VLSI Signal Processing, Neural Networks, Image Processing and MEMS. He is also heading the Tejaa Shakthi Innovation centre.
Geetha Nair
Geetha.G received the B.E. degree in Electronics and communication engineering from M.S Bidve college of engineering,Latur,Marathwada University Maharashtra, in 1996, the M.E. degree in electronics and communication engineering (Industrial Electronics) from SJC college of engineering,Mysore,Visweshwaraya technical University,Belgaum in 2009. Currently she is working as Assistant Professor in NSS College of Engineering,Palakkad,Kerala. She has about 12 years of teaching experience, since 2000.
N.J.R.Muniraj
Dr. N.J.R.Muniraj is presently working as a Principal of Tejaa Shakthi institute of Technology, Coimbatore. He has more than 23 years of teaching and five years of industrial experience. He has presented more than 40 National and International papers and published fifteen international journal papers. His research area includes VLSI Signal Processing, Neural Networks, Image Processing and MEMS. He is also heading the Tejaa Shakthi Innovation centre.
