On-demand Bandwidth and Stability Based Unicast Routing in Mobile Adhoc Networks

• Autorzy: Basarkod P. I. , Manvi S. S.

Identyfikatory

DOI

10.2478/eletel-2014-0003

• Języki publikacji: EN

Abstrakty

EN

Characteristics of mobile ad hoc networks (MANETs) such as lack of central coordination, dynamic topology and limited resources pose a challenging problem in quality of service (QoS) routing. Providing an efficient, robust and low overhead QoS unicast route from source to destination is a critical issue. Bandwidth and route stability are the major important QoS parameters for applications where long duration connections are required with stringent bandwidth requirements for multimedia applications. This paper proposes an On-demand Bandwidth and Stability based Unicast Routing scheme (OBSUR) in MANET by adding additional QoS features to existing Dynamic Source Routing (DSR) protocol. The objective of the OBSUR is to provide QoS satisfied, reliable and robust route for communicating nodes. The scheme works in following steps. (1) Each node in the network periodically (small regular intervals) estimates bandwidth availability, node and link stability, buffer availability, and stability factor between nodes. (2) Construction of neighbor stability and QoS database at every node which is used in route establishment process. (3) The unicast path is constructed by using route request and route reply packets with the help of route information cache, and (4) route maintenance in case of node mobility and route failures. Simulation results show that there is an improvement in terms of traffic admission ratio, control overhead, packet delivery ratio, end to end delay and throughput as compared to Route Stability Based QoS Routing (RSQR) in MANETs.

Słowa kluczowe

EN

mobile ad hoc network; QoS; stability; routing; mobility

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2014
• Tom: Vol. 60, No. 1
• Strony: 27--39
• Opis fizyczny: Bibliogr. 27 poz., wykr.

Twórcy

autor

Basarkod P. I.

• Wireless Information Systems Research Lab, Department of Electronics and Communication Engineering, Reva Institute of Technology and Management, Bangalore-560064, INDIA

autor

Manvi S. S.

• Wireless Information Systems Research Lab, Department of Electronics and Communication Engineering, Reva Institute of Technology and Management, Bangalore-560064, INDIA

Bibliografia

• [1] N. Nikaein and C. Bonnet, “Improving routing and network performance in mobile ad hoc networks using quality of nodes,” in Proceedings of Wireless Optimization (WiOpt), Sophia-Antipolis, France, 2003.
• [2] E. Royer and T. Chai-Keong, “A review of current routing protocols for ad hoc mobile wireless networks,” IEEE Personal Communications, vol. 6, no. 2, pp. 46–55, 1999.
• [3] J. Augustine, G. Pandurangan, P. Robinson, and E. Upfal, “Towards robust and efficient computation in dynamic peer-to-peer networks,” in Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms (SODA ’12), Kyoto, Japan, 2012.
• [4] R. C. Biradar, S. S. Manvi, and M. Reddy, “Link stability based multicast routing in MANET,” Elsevier International Journal on Computer Networks, vol. 54, no. 7, pp. 1183–1196, 2010.
• [5] G. Chauhan and S. Nandi, “QoS aware stable path routing (QASR) protocol,” in Proceedings of First International Conference on Emerging Trends in Engineering and Technology, Nagpur, India, 2008, pp. 202–207.
• [6] F. Kuhn, N. Lynch, and R. Oshman, “Distributed computation in dynamic networks,” in Proceedings of the 42nd ACM symposium on Theory of computing (STOC-10), Cambridge, Massachusetts, USA, 2010.
• [7] G. Carofiglio, C. F. Chiasserini, M. Garettoy, and E. Leonardi, “Route stability in MANETs under the random direction mobility model,” IEEE Transaction Mobile Computing, vol. 8, no. 9, pp. 1167–1179, 2009.
• [8] M. R. Brust, C. H. Ribeiro, and S. Rothkugel, “Heuristics on link stability in ad hoc networks,” in Proceedings of IEEE Network Operations and Management Symposium (NOMS 2008), Salvador, Bahia, Brazil, 2008, pp. 738–741.
• [9] M. R. Brust, S. Rothkugel, and A. Andronache, “Node stability in dynamic communication networks,” in Proceedings of the First Asia International Conference on Modeling and Simulation (AMS ’07), Phuket, Thailand, 2007, pp. 206–211.
• [10] S. Mishra, S. K. Dhurandher, M. Obaidat, N. Nangia, N. Bhardwaj, P. Goyal, and S. Aggarwal, “Node stability-based location updating in mobile ad-hoc networks,” IEEE Systems Journal, vol. 2, no. 2, pp. 237–247, 2008.
• [11] T. Braun, M. Heissenbuttel, and T. Roth, “Performance of the beaconless routing protocol in realistic scenarios,” Elsevier Ad Hoc Networks, vol. 8, no. 1, pp. 96–107, 2010.
• [12] H. Wang, Z. Shi, A. Ge, and C. Yu, “An optimized ant colony algorithm based on the gradual changing orientation factor for multi-constraint QoS routing,” Elsevier Computer Communications, vol. 32, no. 4, pp. 569–782, 2009.
• [13] T. Kunz and R. Alhalimi, “Energy-efficient proactive routing in MANET: Energy metrics accuracy,” Elsevier Ad Hoc Networks, vol. 8, no. 7, pp. 755–766, 2010.
• [14] P. Sharma, Y. Karkhanawala, and K. Kotecha, “Bandwidth constrained routing of multimedia traffic over hybrid MANETs using ant colony optimization,” International Journal of Machine Learning and Computing, vol. 1, no. 3, pp. 242–246, 2011.
• [15] P. Wannawilai and C. Sathitwiriyawong, “AOMDV with sufficient band-width aware,” in Proceedings of 10th IEEE International Conference on Computer and Information Technology (CIT 2010), Bradford, West Yorkshire, UK, 2010.
• [16] A. Bamis, A. Boukerche, I. Chatzigiannakis, and S. Nikoletseas, “Amobility aware protocol synthesis for efficient routing in ad hoc mobile networks,”Elsevier Computer Networks, vol. 52, no. 1, pp. 130–154, 2008.
• [17] W. Da-peng, W. Mu-qing, and Z. Yan, “Reliable routing mechanism based on neighbor stability for MANET,” Elsevier Computer Networks, vol. 16, no. 3, pp. 33–39, 2009.
• [18] K. A. Yau, P. Komisarczuk, and P. D. Teal, “Reinforcement learning for context awareness and intelligence in wireless networks: Review,” Journal of Network and Computer Applications, vol. 35, no. 1, pp. 253–267, 2012.
• [19] N. Meghanathan, “A unicast MANET routing protocol to simultaneously minimize the stability-hop count tradeoff and end-to-end Delay,” in Proceedings of Ninth International Conference on Information Technology: New Generations (ITNG), Las Vegas, NV, 2012.
• [20] R. C. Biradar and S. S. Manvi, “Ring mesh based multicast routing scheme in MANET using bandwidth delay product,” Wireless Personal Communications, vol. 66, no. 1, pp. 117–146, 2012.
• [21] N. Sarma and S. Nandi, “Route stability based QoS routing in mobile adhoc networks,” Wireless Personal Communications, vol. 54, no. 1, pp. 203–224, 2010.
• [22] A. Segall, P. Bhagwat, and A. Krishna, “QoS routing using alternate paths,” Journal of High Speed Networks – Special issue on quality of service routing, vol. 7, no. 2, pp. 141–158, 1998.
• [23] G. Apostolopoulos, R. Guerin, S. Kamat, and S. K. Tripathi, “On reducing the processing cost of on-demand QoS path computation,” Journal of High Speed Networks – Special issue on quality of service routing and signaling, vol. 7, no. 2, pp. 77–98, 1998.
• [24] A. M. Sukhov and D. Y. Chemodanov, “A metric for dynamic routing based on variational principles,” Journal of High Speed Networks, vol. 19, no. 2, pp. 155–163, 2013.
• [25] Http://www.gps.gov/systems/gps/performance/accuracy/; Accessed on 15 October, 2012.
• [26] P. I. Basarkod and S. S. Manvi, “Multiple parameters based approach to estimate bandwidth in mobile adhoc networks,” International Journal of Computer Science Issues, Special Issue (IJCSI), vol. 1, no. 1, pp. 37–43, 2011.
• [27] D. B. Johnson and D. A. Maltz, “Dynamic source routing in adhoc wireless networks,” Mobile Computing, Kluwer academic publishers Vol. 353, no. 1, pp. 153-181, 1996