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1860799935842091008
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2024-09-10 13:34:53
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Restricted Document
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7985
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UniSZA
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[1] Adya, P. Bahl, J. Padhye, A. Wolman and L. Zhou, “A multi-radio unification protocol for ieee 802.11 wireless networks”, in Proceedings of BroadNets conference, 2004. [2] El Gamal, J. Mammen, B. Prabhakar, D. Shah, “Throughput-delay trade-off in wireless networks”, in Proceedings of IEEE INFOCOM Conference on Computer Communications, 23 (1):464-475, March 2004. [3] Awerbuch, D. Holmer, H. Rubens, “The medium time metric: High throughput route selection in multirate ad hoc wireless networks”, MONET, Spec. Iss. on Internet Wireless Access: 802.11 and Beyond, 2005. [4] C.E.Perkins and E.M.Royer, “Ad hoc on demand distance vector routing”, Proceedings of IEEE Workshop on Mobile computing systems and Applications, pp. 90-100, February 1999. [5] D. B. Johnson, D. A. Maltz, Y.C. Hu, “The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR)”, IETF Draft, 2003. [6] D. Johnson, D. B. Maltz, D. A. and Broch, J., The Dynamic Source Routing Protocol for Multihop Wireless Ad Hoc Networks, Ad Hoc Networking, Perkins, C. E., Addison-Wesley Publisher, 2001. [7] D.A. Maltz, J. Broch, J. Jetcheva, “The effects of on-demand behavior in routing protocols for multihop wireless Ad Hoc networks”, IEEE Journal on Selected Areas in Communications, 1999, 17(8), pp1439-1453. [8] D.S.J. De Couto, D. Aguayo, J. Bicket and R. Morris, “A highthroughput path metric for multi-hop wireless networks”, Proceedings of 9th Annual International Conference on Mobile Computing and Networking (MobiCom 03), Sep. 2003. [9] Global Mobile Information Systems Simulation Library, http://pcl.cs.ucla.edu/projects/glomosim/. [10] M. H. Mamoun, “A Proposed Route Selection Technique in DSR Routing Protocol for MANET”, International Journal of Engineering & Technology IJET-IJENS, April 2011, Vol: 11 No: 02 10118702-0404. [11] M. Barbeau, E. Kranakis, Principles of Ad-hoc Networking, Wiley, 2007. [12] M. Natarajan, “Impact of Route Selection Metrics on the Performance of On-Demand Mesh-based Multicast Ad hoc Routing”, Computer and Information Science, Jackson State University, Vol. 3, No. 2; May 2010. [13] M. Neelakantappa, B. Satyanarayana, A. Damodharam, “Performance Improvement Techniques for Dynamic Source Routing Protocol in Mobile Ad Hoc Networks’’, International Journal of Recent Trends in Engineering, November 2009, Vol 2, No. 2. [14] M. Shama, R. L. Dua, “Investigation of Performance Matrics of Dynamic Source Routing with Different Terrain Areas and Pause Time for Wireless Sensor Network”, International Journal of Advanced Research in Computer Science and Software Engineering, July 2012, Vol. 2, Issue 7, ISSN: 2277 128X. [15] M.K. Marina, S.R. Das, “Performance of Route Caching Strategies in Dynamic Source Routing”. Proceedings of the 2nd Wireless Networking and Mobile Computing (WNMC), Mesa, AZ, USA, pp. 425-432, April, 2001. [16] N. Meghanathan, “Survey and Taxonomy of Unicast Routing Protocols for Mobile Ad hoc Networks”, The International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks, Dec 2009 ,Vol.1, No.1. [17] R. Draves, J. Padhye and B. Zill, “Comparison of routing metrics for static multi-hop wireless networks”, in Proceedings of ACM SIGCOMM, Portland, Oregon, USA, 2004. [18] S. Basagni, m. Conti, s. Giordano, and i. Stojmenovic, Mobile Ad Hoc Networking, Wiley IEEE Press, 2004. [19] S. Keshav, “A control-theoretic approach to flow control”, in Proceedings of SIGCOMM, 1991. [20] S.J. Lee, M. Gerla, , C. Chaing, “On-Demand Multicast Routing Protocol”, in Proceedings of IEEE Wireless Communications and Networking Conference, USA, 1999. [21] V. D. Park and M. S. Corson, “A Highly Adaptive Distributed Routing Algorithm for Mobile Wireless Networks”, Proceedings of the 9th IEEE International Conference on Computer Communications and Networking (INFOCOM’97), Kobe, Japan, pp. 1405-1413, Apr. 1997. [22] W. Lou, F. Yuguang, “Predicative Caching Strategy for On-Demand Routing Protocols in Wireless Ad Hoc Networks”, Journal Wireless Networks, 2002, Vol. 8, pp. 671-679. [23] W. Gibson,” An Investigation of the Impact of Routing Protocols on MANETs using Simulation Modeling”, Master Thesis, Auckland University of Technology, New Zealand, 2008. [24] X. Li, W. Wei, X. Sun, Y. Gao, “A DSR Protocol Based on the Performance Value”, In Proceedings of the Third International Symposium on Electronic Commerce and Security Workshops(ISECS ’10), Guangzhou, P. R. China, 29- 31, pp.332-335, ISBN 978-952-5726-11-4, July, 2010. [25] Y. Hu, D.B. Johnson, “Caching Strategies in On-Demand Routing Protocols for Wireless Ad Hoc Networks”, In Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MobiCom), Boston, MA, USA, August 6–11, 2000.
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3813-01-FH02-FIK-14-00643.pdf
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7985
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7985 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7985 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 2 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in 2024-09-10 13:34:53 3813-01-FH02-FIK-14-00643.pdf UniSZA Private Access Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs International Journal of Computer Science Issues Mobile Ad-hoc Networks (MANETs) are characterized by connectivity through a group of wireless nodes. MANETs are deployed in circumstances where no base station is available. Accordingly, MANETs need routing protocols which can adopt with dynamic topologies. To achieve this, several routing protocols are proposed and deployed. The route selection is one of the most important method design optimization criterion in routing protocols. Most conventional route selection methods do not consider both the freshness and shortness of the route while selecting routes. In this paper, we present two route selection methods for DSR protocol, which consider the freshness of the route as the primary route selection metric. In addition, we describe the proposed methods and explain their effectiveness via presenting and comparing simulation results with popular DSR protocol. The parameters used for evaluation are packet delivery ratio, routing overhead and dropped packets. The simulations are carried out using GloMoSim simulator. 10 2 123-130 [1] Adya, P. Bahl, J. Padhye, A. Wolman and L. Zhou, “A multi-radio unification protocol for ieee 802.11 wireless networks”, in Proceedings of BroadNets conference, 2004. [2] El Gamal, J. Mammen, B. Prabhakar, D. Shah, “Throughput-delay trade-off in wireless networks”, in Proceedings of IEEE INFOCOM Conference on Computer Communications, 23 (1):464-475, March 2004. [3] Awerbuch, D. Holmer, H. Rubens, “The medium time metric: High throughput route selection in multirate ad hoc wireless networks”, MONET, Spec. Iss. on Internet Wireless Access: 802.11 and Beyond, 2005. [4] C.E.Perkins and E.M.Royer, “Ad hoc on demand distance vector routing”, Proceedings of IEEE Workshop on Mobile computing systems and Applications, pp. 90-100, February 1999. [5] D. B. Johnson, D. A. Maltz, Y.C. Hu, “The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR)”, IETF Draft, 2003. [6] D. Johnson, D. B. Maltz, D. A. and Broch, J., The Dynamic Source Routing Protocol for Multihop Wireless Ad Hoc Networks, Ad Hoc Networking, Perkins, C. E., Addison-Wesley Publisher, 2001. [7] D.A. Maltz, J. Broch, J. Jetcheva, “The effects of on-demand behavior in routing protocols for multihop wireless Ad Hoc networks”, IEEE Journal on Selected Areas in Communications, 1999, 17(8), pp1439-1453. [8] D.S.J. De Couto, D. Aguayo, J. Bicket and R. Morris, “A highthroughput path metric for multi-hop wireless networks”, Proceedings of 9th Annual International Conference on Mobile Computing and Networking (MobiCom 03), Sep. 2003. [9] Global Mobile Information Systems Simulation Library, http://pcl.cs.ucla.edu/projects/glomosim/. [10] M. H. Mamoun, “A Proposed Route Selection Technique in DSR Routing Protocol for MANET”, International Journal of Engineering & Technology IJET-IJENS, April 2011, Vol: 11 No: 02 10118702-0404. [11] M. Barbeau, E. Kranakis, Principles of Ad-hoc Networking, Wiley, 2007. [12] M. Natarajan, “Impact of Route Selection Metrics on the Performance of On-Demand Mesh-based Multicast Ad hoc Routing”, Computer and Information Science, Jackson State University, Vol. 3, No. 2; May 2010. [13] M. Neelakantappa, B. Satyanarayana, A. Damodharam, “Performance Improvement Techniques for Dynamic Source Routing Protocol in Mobile Ad Hoc Networks’’, International Journal of Recent Trends in Engineering, November 2009, Vol 2, No. 2. [14] M. Shama, R. L. Dua, “Investigation of Performance Matrics of Dynamic Source Routing with Different Terrain Areas and Pause Time for Wireless Sensor Network”, International Journal of Advanced Research in Computer Science and Software Engineering, July 2012, Vol. 2, Issue 7, ISSN: 2277 128X. [15] M.K. Marina, S.R. Das, “Performance of Route Caching Strategies in Dynamic Source Routing”. Proceedings of the 2nd Wireless Networking and Mobile Computing (WNMC), Mesa, AZ, USA, pp. 425-432, April, 2001. [16] N. Meghanathan, “Survey and Taxonomy of Unicast Routing Protocols for Mobile Ad hoc Networks”, The International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks, Dec 2009 ,Vol.1, No.1. [17] R. Draves, J. Padhye and B. Zill, “Comparison of routing metrics for static multi-hop wireless networks”, in Proceedings of ACM SIGCOMM, Portland, Oregon, USA, 2004. [18] S. Basagni, m. Conti, s. Giordano, and i. Stojmenovic, Mobile Ad Hoc Networking, Wiley IEEE Press, 2004. [19] S. Keshav, “A control-theoretic approach to flow control”, in Proceedings of SIGCOMM, 1991. [20] S.J. Lee, M. Gerla, , C. Chaing, “On-Demand Multicast Routing Protocol”, in Proceedings of IEEE Wireless Communications and Networking Conference, USA, 1999. [21] V. D. Park and M. S. Corson, “A Highly Adaptive Distributed Routing Algorithm for Mobile Wireless Networks”, Proceedings of the 9th IEEE International Conference on Computer Communications and Networking (INFOCOM’97), Kobe, Japan, pp. 1405-1413, Apr. 1997. [22] W. Lou, F. Yuguang, “Predicative Caching Strategy for On-Demand Routing Protocols in Wireless Ad Hoc Networks”, Journal Wireless Networks, 2002, Vol. 8, pp. 671-679. [23] W. Gibson,” An Investigation of the Impact of Routing Protocols on MANETs using Simulation Modeling”, Master Thesis, Auckland University of Technology, New Zealand, 2008. [24] X. Li, W. Wei, X. Sun, Y. Gao, “A DSR Protocol Based on the Performance Value”, In Proceedings of the Third International Symposium on Electronic Commerce and Security Workshops(ISECS ’10), Guangzhou, P. R. China, 29- 31, pp.332-335, ISBN 978-952-5726-11-4, July, 2010. [25] Y. Hu, D.B. Johnson, “Caching Strategies in On-Demand Routing Protocols for Wireless Ad Hoc Networks”, In Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MobiCom), Boston, MA, USA, August 6–11, 2000.
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| spellingShingle |
Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs
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| summary |
Mobile Ad-hoc Networks (MANETs) are characterized by connectivity through a group of wireless nodes. MANETs are deployed in circumstances where no base station is available. Accordingly, MANETs need routing protocols which can adopt with dynamic topologies. To achieve this, several routing protocols are proposed and deployed. The route selection is one of the most important method design optimization criterion in routing protocols. Most conventional route selection methods do not consider both the freshness and shortness of the route while selecting routes. In this paper, we present two route selection methods for DSR protocol, which consider the freshness of the route as the primary route selection metric. In addition, we describe the proposed methods and explain their effectiveness via presenting and comparing simulation results with popular DSR protocol. The parameters used for evaluation are packet delivery ratio, routing overhead and dropped packets. The simulations are carried out using GloMoSim simulator.
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| title |
Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs
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| title_full |
Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs
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| title_fullStr |
Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs
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| title_full_unstemmed |
Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs
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| title_short |
Impact of Route Selection Metrics on the Performance of DSR Protocol for MANETs
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| title_sort |
impact of route selection metrics on the performance of dsr protocol for manets
|