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QoS in Mobile Ad-Hoc Networks

  • Pushp SraEmail author
  • Satish Chand
Article

Abstract

A mobile ad hoc network (MANET) consists of mobile nodes communicating over wireless channels. Routing in MANETs is very challenging due to the random mobility of nodes and unreliability of wireless channels. Therefore most of the existing routing algorithms make only the best effort to find routes for communication but do not provide any performance guarantee. Because of the widespread use of MANETs in real-time applications, it becomes pertinent to provide deterministic network behavior. Quality of Service (QoS) aims to shape the network behavior and provide performance guarantees. In this work, a novel heuristic called Advanced-Optimised Link State Routing (A-OLSR) protocol is designed to provide QoS. It functions by enhancing the connectivity of nodes and establishing more stable routes as compared to standard best-effort Optimised Link State Routing (OLSR) protocol. The simulation results show that A-OLSR provides lower delay, reduces energy consumption and achieves higher throughput without introducing any additional routing overhead as compared to the standard OLSR and it’s variants-A\('\)-OLSR and A\(''\)-OLSR. The results also show that A-OLSR provides scalability since it’s performance remains consistent with the increasing size of network.

Keywords

MANET Routing QoS Wireless communication OLSR Ad-hoc networks 

References

  1. 1.
    Giordano, S., et al. (2002). Mobile ad hoc networks. In Handbook of wireless networks and mobile computing (pp. 325–346).Google Scholar
  2. 2.
    Hoebeke, J., Moerman, I., Dhoedt, B., & Demeester, P. (2004). An overview of mobile ad hoc networks: Applications and challenges. Journal Communications Network, 3(3), 60–66.Google Scholar
  3. 3.
    Royer, E. M., & Toh, C.-K. (1999). A review of current routing protocols for ad hoc mobile wireless networks. IEEE Personal Communications, 6(2), 46–55.CrossRefGoogle Scholar
  4. 4.
    Perkins, C. E., & Bhagwat, P. (1994). Highly dynamic destination-sequenced distance-vector routing (dsdv) for mobile computers. In ACM SIGCOMM computer communication review (Vol. 24, pp. 234–244). ACM.Google Scholar
  5. 5.
    Clausen, T., & Jacquet, P. (2003). Optimized link state routing protocol (OLSR). Technical Report.Google Scholar
  6. 6.
    Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing. Technical Report.Google Scholar
  7. 7.
    Park, V. D., & Corson, M. S. (1997). A highly adaptive distributed routing algorithm for mobile wireless networks. In INFOCOM’97. sixteenth annual joint conference of the IEEE computer and communications societies. Driving the Information Revolution., Proceedings IEEE (Vol. 3, pp. 1405–1413). IEEE.Google Scholar
  8. 8.
    Pearlman, M. R., & Haas, Z. J. (1999). Determining the optimal configuration for the zone routing protocol. IEEE Journal on Selected Areas in Communications, 17(8), 1395–1414.CrossRefGoogle Scholar
  9. 9.
    Rawat, P., Singh, K. D., Chaouchi, H., & Bonnin, J. M. (2014). Wireless sensor networks: A survey on recent developments and potential synergies. The Journal of Supercomputing, 68(1), 1–48.CrossRefGoogle Scholar
  10. 10.
    Li, W., Li, K., Huang, Y., Yang, S., & Yang, L. (2017). A EA- and ACA-based QoS multicast routing algorithm with multiple constraints for ad hoc networks. Soft Computing, 21(19), 5717–5727.CrossRefGoogle Scholar
  11. 11.
    Lu, T., Chang, S., Guo, W., & Huang, Q. (2017). Genetic algorithm for energy-aware QoS multicast routing in manets. Computer, 5(1), 10–20.Google Scholar
  12. 12.
    Gurumoorthy, K., & Nirmal Kumar, A. (2017). Mutual constraint based GA suggested routing algorithm for improving QoS in clustered MANETS. Wireless Personal Communications, 98(3), 2975–2991.CrossRefGoogle Scholar
  13. 13.
    Ramesh, S., & Smys, S. (2017). A software-based heuristic clustered (sbhc) architecture for the performance improvement in manet. Wireless Personal Communications, 97(4), 6343–6355.CrossRefGoogle Scholar
  14. 14.
    Sedrati, M., & Benyahia, A. Multipath routing to improve quality of service for video streaming over mobile ad hoc networks. Wireless Personal Communications, 1–15.Google Scholar
  15. 15.
    Zheng, T., & Ki-Il, K. (2010). A survey on real-time mac protocols in wireless sensor networks. Communications and Network, vol. 2010.Google Scholar
  16. 16.
    Jims, M., Sarma, N., & Nandi, S. (2007). Priority based fairness provisioning QoS-aware mac protocol. In International conference on advanced computing and communications, 2007. ADCOM 2007 (pp. 593–598). IEEE.Google Scholar
  17. 17.
    Saxena, N., Roy, A., & Shin, J. (2008). Dynamic duty cycle and adaptive contention window based QoS-mac protocol for wireless multimedia sensor networks. Computer Networks, 52(13), 2532–2542.CrossRefzbMATHGoogle Scholar
  18. 18.
    Yigitel, M. A., Incel, O. D., & Ersoy, C. (2011). Qos-aware mac protocols for wireless sensor networks: A survey. Computer Networks, 55(8), 1982–2004.CrossRefGoogle Scholar
  19. 19.
    Ehsan, S., & Hamdaoui, B. (2012). A survey on energy-efficient routing techniques with QoS assurances for wireless multimedia sensor networks. IEEE Communications Surveys & Tutorials, 14(2), 265–278.CrossRefGoogle Scholar
  20. 20.
    Marina, M. K., & Das, S. R. (2006). Ad hoc on-demand multipath distance vector routing. Wireless Communications and Mobile Computing, 6(7), 969–988.CrossRefGoogle Scholar
  21. 21.
    Venkataramana, A., & Setty, S. P. (2017). Enhance the quality of service in mobile ad hoc networks by using fuzzy based NTT-DYMO. Wireless Personal Communications, 95(3), 2989–3002.CrossRefGoogle Scholar
  22. 22.
    Kuppusamy, P., Thirunavukkarasu, K., & Kalaavathi, B. (2011). A study and comparison of OLSR, AODV and TORA routing protocols in ad hoc networks. In 2011 3rd international conference on electronics computer technology (ICECT) (Vol. 5, pp. 143–147). IEEE.Google Scholar
  23. 23.
    Leguay, J., Conan, V., & Friedman, T. (2006). QoS routing in OLSR with several classes of service. In Fourth annual IEEE international conference on pervasive computing and communications workshops, 2006. PerCom Workshops 2006 (pp. 6–pp). IEEE.Google Scholar
  24. 24.
    Ge, Y., Kunz, T., & Lamont, L. (2003). Quality of service routing in ad-hoc networks using OLSR. In Proceedings of the 36th Annual Hawaii international conference on system sciences, 2003 (pp. 9–pp). IEEE.Google Scholar
  25. 25.
    Lavanya, S., & Bhagyaveni, M. (2017). Design of SOP based cross-layered opportunistic routing protocol for CR ad-hoc networks. Wireless Personal Communications, 96(4), 6543–6556.CrossRefGoogle Scholar
  26. 26.
    Munaretto, A., & Fonseca, M. (2007). Routing and quality of service support for mobile ad hoc networks. Computer Networks, 51(11), 3142–3156.CrossRefzbMATHGoogle Scholar
  27. 27.
    Hamzaoui, Y., Amnai, M., Choukri, A., & Fakhri, Y. (2017). Enhancing OLSR routing protocol using k-medoids clustering method in manets. International Journal of Applied Engineering Research, 12(2), 200–206.Google Scholar
  28. 28.
    Singal, G., Laxmi, V., Gaur, M. S., Rao, D. V., & Kushwaha, R. (2017). QoS-aware mesh based multicast routing protocols in ad-hoc networks: Concepts and challenges. arXiv preprint arXiv:1708.09573.
  29. 29.
    Issariyakul, T., & Hossain, E. (2011). Introduction to network simulator NS2. New York: Springer Science & Business Media.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Jawaharlal Nehru UniversityNew DelhiIndia

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