American Journal of Educational Science
Articles Information
American Journal of Educational Science, Vol.1, No.3, Jul. 2015, Pub. Date: Jun. 10, 2015
Enhanced Confidence Based Q Routing for an Ad Hoc Network
Pages: 60-68 Views: 3904 Downloads: 1307
Authors
[01] Rahul Desai, Research Scholar, Sinhgad College of Engineering, Army Institute of Technology, Pune, India.
[02] B. P. Patil, Department of Electronics & Telecommunication, Army Institute of Technology, Pune, India.
Abstract
Confidence-based Q (CQ) Routing Algorithm is an adaptive network routing algorithm. CQ Routing Algorithm uses confidence values to improve the quality of exploration over standard Q routing. The Enhanced confidence Based Q routing which uses Variable of Decay Constant and Update All Q value approaches for updating the C values of non-selected Q values. Thus as compared with standard CQ routing, enhanced Q routing takes less amount of time to represent real state of the network, thus quality of exploration is improved. The performance of ECQ and CQ Routing Algorithms are compared to prove this improvement. Also the ECQ routing is compared with some existing routing protocols to judge the quality of the network in terms of some performance parameters such as packet delivery ratio, delay, control overhead and throughput.
Keywords
Q Routing, Reinforcement, CQ Routing, CDRQ Routing, ECQ Routing
References
[01] Asma Toteja, Raynees Gujral, Sunil Thalia, “Comparative performance Analysis of DSDV, AODV and DSR Routing Protocols in MANETs, using NS2”, 2010 International Conference on Advances in computing Engineering, IEEE Computer Society.
[02] Khan, K.; Zaman, R.U.; Reddy, K.A.; Reddy, K.A.; Harsha, T.S., "An Efficient DSDV Routing Protocol for Wireless Mobile Ad Hoc Networks and its Performance Comparison," Second UKSIM European Symposium on Computer Modeling and Simulation, 2008. EMS '08. , pp.506,511, 8-10 Sept. 2008
[03] Bai, R.; Singhal, M., "DOA: DSR over AODV Routing for Mobile Ad Hoc Networks," Mobile Computing, IEEE Transactions on , vol.5, no.10, pp.1403,1416, Oct. 2006
[04] D B Johnson, D A Maltz, Y. Hu and J G Jetcheva. The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR) http://www.ietf.org/internet-drafts/draft-ietf-manet-dsr-07.txt, Feb 2002, IETF Internet Draft.
[05] Richard S. Sutton and Andrew G. Barto “Reinforcement Learning: An Introduction” A Bradford Book, The MIT Press Cambridge, Massachusetts London, England
[06] Ramzi A. Haraty and Badieh Traboulsi “MANET with the Q-Routing Protocol” ICN 2012 : The Eleventh International Conference on Networks
[07] S Kumar, Confidence based Dual Reinforcement Q Routing : An on line Adaptive Network Routing Algorithm. Technical Report, University of Texas, Austin 1998.
[08] Kumar, S., 1998, “Confidence based Dual Reinforcement Q-Routing: An On-line Adaptive Network Routing Algorithm,” Master’s thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX-78712, USA Tech. Report AI98-267.
[09] Kumar, S., Miikkulainen, R., 1997, “Dual Reinforcement Q-Routing: An On-line Adaptive Routing Algorithm,” Proc. Proceedings of the Artificial Neural Networks in Engineering Conference.
[10] Shalabh Bhatnagar, K. Mohan Babu “New Algorithms of the Q-learning type” Science Direct Automatica 44 (2008) 1111- 1119. Website: www.sciencedirect.com.
[11] Soon Teck Yap and Mohamed Othman, “An Adaptive Routing Algorithm: Enhanced Confidence Based Q Routing Algorithms in Network Traffic. Malaysian Journal of Computer, Vol. 17 No. 2, December 2004, pp. 21-29
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