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Minimizing Congestion in Mobile Ad hoc Network Using Adaptive Control Packet Frequency and Data Rate

  • Navneet Kaur
  • Rakesh Singhai
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)

Abstract

An effective congestion control algorithm should ensure reliable message delivery, quality of service, and energy optimization. This paper presents a method in which data rate and control packets such as Hello packet interval is selected according to the channel conditions depending on the node mobility and energy consumed by the nodes in transmission. The method enables nodes to adjust their data rate and frequency of their Hello messages depending on the transmission power and current speed of the nodes. The improved protocol detects and reacts to congested parts of the network by using adaptive data rate and Hello packet interval. This helps in reducing congestion and improve throughput. The functionality of the proposed method is tested using the Network simulation tool. The results have been analyzed in various scenarios to evaluate the performance parameters. This mainly improves throughput and reduces end-to-end delay and jitter in high mobility cases. The average queue length is also controlled.

Keywords

Congestion control Hello interval MANET Traffic control Fuzzy logic Adaptive data rate 

References

  1. 1.
    Johnson, D.B., Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. Mobile Computing, vol. 10, no. 7, pp 153–181. Springer, USA (1996)Google Scholar
  2. 2.
    Jain, R.: Congestion control in computer networks: Issues and trends. IEEE Netw. 4(3), 24–30 (1990)CrossRefGoogle Scholar
  3. 3.
    Yang, P., Shao, J., Luo, W., Xu, L., Deogun, J., Lu, Y.: TCP congestion avoidance algorithm identification. IEEE/ACM Trans. Netw. (TON) 22(4), 1311–1324 (2014)CrossRefGoogle Scholar
  4. 4.
    Paek, J., Govindan, R.: RCRT: rate controlled reliable transport protocol for wireless sensor networks. ACM Trans. Sens. Netw. 7(3), pp. 20:1–20:45 (2010)CrossRefGoogle Scholar
  5. 5.
    Esmaeelzadeh, V., Hosseini, E.S., Berangi, R., Akan, O.B.: Modeling of rate-based congestion control schemes in cognitive radio sensor networks. Ad Hoc Netw. Elsevier 36, 177–188 (2016)CrossRefGoogle Scholar
  6. 6.
    Pu, J., Hamdi, M.: Enhancements on router-assisted congestion control for wireless networks. IEEE Trans. Wirel. Commun. 7(6), 2253–2260 (2008)CrossRefGoogle Scholar
  7. 7.
    Kliazovich, D., Granelli, F.: Cross-layer congestion control in ad hoc wireless networks. Ad Hoc Netw. Elsevier 4(6), 687–708 (2006)CrossRefGoogle Scholar
  8. 8.
    Bansal, G., Kenney, J.B.: LIMERIC: a linear adaptive message rate algorithm for DSRC congestion control. IEEE Trans. Veh Technol. 62(9), pp. 1–1 (2013)CrossRefGoogle Scholar
  9. 9.
    Feng, C.W., Huang, L.F., Xu, C., Chang, Y.C.: Congestion control scheme performance analysis based on nonlinear RED. IEEE Syst. J. (2015)Google Scholar
  10. 10.
    Kafi, M.A., Djenouri, D., Ben-Othman, J., Badache, N.: Congestion control protocols in wireless sensor networks: a survey. IEEE Commun. Surv. Tutor. 16(3), 1369–1390 (2014)CrossRefGoogle Scholar
  11. 11.
    Tran, D.A., Raghavendra, H.: Routing with congestion awareness and adaptivity in mobile adhoc networks. IEEE Trans. Parallel Distrib. Syst. 17(11) (2006)CrossRefGoogle Scholar
  12. 12.
    Mallapur, S.V., Siddarama, R.P., Jayashree, V.A.: Load balancing technique for congestion control multipath routing protocol in MANETs. Wireless Personal Communications, vol. 92, Issue 2, pp 749–770. Springer (2017)Google Scholar
  13. 13.
    Senthil kumaran, T., Sankaranarayanan, V.: Dynamic congestion detection and control routing in manet. J. Comput. Inf. Sci. Elsevier 25(1), 25–34 (2013)Google Scholar
  14. 14.
    Heissenbuttel, M., Torsten, B.: Optimizing neighbor table accuracy of position-based routing algorithms. In: IEEE INFOCOM (2005)Google Scholar
  15. 15.
    De Rango, F., Guerriero, F., Fazio, P.: Link-stability and energy aware routing protocol in distributed wireless networks. IEEE Trans. Parallel Distrib. Syst. 23(4), 713–726 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and CommunicationUIT RGPVBhopalIndia

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