Congestion Detection and Mitigation Protocols for Wireless Sensor Networks

Authors

  • Muhammad Zeeshan  Deptartment of Computer Science, Abdul Wali Khan University Mardan, Pakistan
  • Fazlullah Khan  
  • Syed Roohullah Jan  

Keywords:

WSN (Wireless sensors networks), Congestion, Congestion Control.

Abstract

Congestion control is tremendously important area within wireless sensor networks (WSN). With the appearance of new network applications, the non-stop increasing traffic is starting to experience unexpected situation of network congestion. Congestion in wireless sensor network affects the nonstop flow of data, loss of information, delay and reduces the energy of nodes due to overhead of retransmission. Therefore, congestion needs to be control in wireless sensor network in order to extend system lifetime, improve fairness and quality of service and to attain high energy efficiency. This paper revives different routing protocols used in wireless sensor networks to mitigate and control congestion and to provide consistency for different applications and prolong the life of the wireless sensor network.

References

  1. Hull, B., Jamieson, K., Balakrishnan, H.: Mitigating congestion in wireless sensor networks. In: 2nd International Conference on Embedded Networked Sensor Systems. Maryland (2004)
  2. Akyildiz, Su,  Y.  Sankarasubramaniam,  and  E. Cayirci,  "A  survey  on  sensor  networks,"  IEEE Communications  Magazine,  Vol:  40  Issue:  8,  pp. 102-114,  August 2002
  3. 11, IEEE Draft Standard forWirelessLAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, D2.0, July 1995.
  4. Wan C -Y, Eisenman S B, Campbell A T, CODA: Congestion detection and avoidance in sensor networks. In the Proceedings of the First International Conference on Embedded Networked Sensor Systems (SenSys’03), Los Angeles, CA, USA, 2003,pp. 266–279
  5. Vijayaraja, Dr. R. Rani Hemalini, “Congestion in Wireless Sensor Networks and various techniques for Mitigation Congestion- A review”. IEEE International Conference on Computational Intelligence and computing Research.
  6. Chien- Yin Wan, Shane B. Eiseaman, Andrew T. Champbell, “ CODA: Congestion Detection and Avoidance”.
  7. Vijayaraja, Dr. R. Rani Hemalini, “Congestion in Wireless Sensor Networks and various techniques for Mitigation Congestion- A review”. IEEE International Conference on Computational Intelligence and computing Research.
  8. Yaghmaee, Mohammad Hossein, and Donald Adjeroh. "A new priority based congestion control protocol for wireless multimedia sensor networks." In World of Wireless, Mobile and Multimedia Networks, 2008. WoWMoM 2008. 2008 International Symposium on a, pp. 1-8. IEEE, 2008.
  9. Yaghmaee, Mohammad Hossein, and Donald Adjeroh. "A new priority based congestion control protocol for wireless multimedia sensor networks." In World of Wireless, Mobile and Multimedia Networks, 2008. WoWMoM 2008. 2008 International Symposium on a, pp. 1-8. IEEE, 2009.
  10. Wan ,C-Y, Eisenman, SB, Campbell, AT.. CODA: Congestion detection and avoidance in sensor networks. In: Proceedings of ACMSensys’03, November5–7, 2003, LosAngeles, California, USA; 2003.
  11. Tao LQ, Yu FQ. ECODA: enhanced congestion detection and avoidance for multiple class of traffic in sensor networks. Transactions on Consumer Electronics 2010.
  12. A. Jan, P. Nanda, X. He and R. P. Liu, “PASCCC: Priority-based application-specific congestion control clustering protocol” Computer Networks, Vol. 74, PP-92-102, 2014.
  13. Khan, F., Bashir, F., & Nakagawa, K. (2012). Dual head clustering scheme in wireless sensor networks. In Emerging Technologies (ICET), 2012 International Conference on (pp. 1-5). IEEE.
  14. Khan, F. (2014). Secure communication and routing architecture in wireless sensor networks. In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE) (pp. 647-650). IEEE.
  15. Khan, F., Jan, S. R., Tahir, M., Khan, S., & Ullah, F. (2016). Survey: Dealing Non-Functional Requirements at Architecture Level. VFAST Transactions on Software Engineering, 9(2), 7-13
  16. A. Jan, P. Nanda, X. He and R. P. Liu, “A Sybil Attack Detection Scheme for a Centralized Clustering-based Hierarchical Network” in Trustcom/BigDataSE/ISPA, Vol.1, PP-318-325, 2015, IEEE.
  17. Khan, F., & Nakagawa, K. (2012). Performance Improvement in Cognitive Radio Sensor Networks. the IEICE Japan.
  18. Khan, F., Khan, S., & Khan, S. A. (2015, October). Performance improvement in wireless sensor and actor networks based on actor repositioning. In 2015 International Conference on Connected Vehicles and Expo (ICCVE) (pp. 134-139). IEEE.
  19. A. Jan, P. Nanda, X. He, and R. P. Liu, “A Sybil Attack Detection Scheme for a Forest Wildfire Monitoring Application,” Elsevier Future Generation Computer Systems (FGCS), “Accepted”, 2016.
  20. A. Jan, P. Nanda, M. Usman, and X. He, “PAWN: A Payload-based mutual Authentication scheme for Wireless Sensor Networks,” Concurrency and Computation: Practice and Experience, “accepted”, 2016.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2016-08-30

Issue

Volume 1, Issue 1, July-August-2016

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Muhammad Zeeshan, Fazlullah Khan, Syed Roohullah Jan, " Congestion Detection and Mitigation Protocols for Wireless Sensor Networks, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 1, Issue 1, pp.66-71, July-August-2016.