A Survey on Jamming Organization in Wireless Sensor Networks

Authors(2) :-Dr. Reshma Banu, Ayesha Taranum

Jamming in wireless sensor networks creates a lot of issues like packet collision, buffer overflow, queuing delay and many to one data transference scheme. This leads to degrade the quality of service parameters like packet delivery ratio, end to end delay and Average energy consumption of the wireless nodes. In this work is used to describe some of the jamming Organization mechanisms used in the WSNs and classifies them into four major categories traffic rate Organization, supply organization, traffic rate and supply organization and priority based jamming Organization. The comparative analysis is used to compare the popular jamming Organization protocols with each other in terms of jamming detection, jamming notification and its advantages and disadvantages.

Authors and Affiliations

Dr. Reshma Banu
Prof & Head, Department of ISE, GSSSIETW, MYSURU, Karnataka, India
Ayesha Taranum
Asst Prof, Department of ISE, GSSSIETW, MYSURU, Karnataka, India

Wireless Sensor Networks, Jamming Detection, Jamming Notifications, Jamming Organization

  1. Akyildiz, W. Su, Y. Sankarasubramaniam, and E.Cayirci. A survey on sensor networks. Communications Magazine, IEEE, 40(8):102 – 114, Aug 2002.
  2. Mohamed Amine Kafi, Djamel Djenouri, Jalel Ben Othman, Abdelraouf Ouadjaout, Nadji Badache,” Jamming Detection Strategies in Wireless sensor Networks: A Comparative Study with Test bed Experiments”, The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks EUSPN-2014.
  3. Ali Ghaffari,”Jamming Organization mechanisms in wireless sensor networks: A survey” Journal of Network and Computer Applications March 2015.
  4. Y. Wan, A.T. Campbell and S.B. Eisenman, “CODA: jamming detection and avoidance in sensor networks”, in Proceedings of the 1st international Conference on Embedded Networked Sensor Systems: (SenSys ?03), ACM, 2003, pp. 266–279.
  5. Woo and D. E. Culler, “A Transference Organization Scheme for Media Access in Sensor Networks,” in Proceedings of the 7th annual International Conference on Mobile Computing and Networking (Mobi-Com?01), 2001, pp.221–235.
  6. T. Ee and R. Bajcsy, “Jamming Organization and Fairness for Many-to-One Routing in Sensor Networks,” in SenSys ?04: proceedings of the 2nd international Conference on Embedded Networked Sensor Systems, 2004, pp. 148–161.
  7. W. Fang, J.M. Chen, L. Shu, T.S. Chu and D.P. Qian, “Jamming avoidance, detection and alleviation in wireless sensor networks”, Journal of Zhejiang University- SCIENCE C, Vol. 11, no.1, 2010, pp. 63-73.
  8. Tao and F. Yu, “ECODA: enhanced jamming detection and avoidance algorithm for multiple class of traffic in sensor networks”, IEEE Transactions on Consumer Electronics, Vol. 56, no. 3, 2010, pp. 1387-1394.
  9. Kang, Y. Zhang, and B. Nath, “TARA: Topology-Aware Supply Adaptation to Alleviate Jamming in Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 7, pp. 919–931,2007.
  10. Sergiou, V. Vassiliou, and A. Paphitis, “Hierarchical Tree Alternative Path (HTAP) Algorithm for Jamming Organization in Wireless Sensor Networks,” Ad Hoc Network., vol. 11, no. 1, pp. 257–272, Jan. 2013.
  11. Vedantham R, Sivakumar R, Park S-J. Sink-to-sensors jamming Organization. Ad Hoc Netw 2007;5(4):462–85.
  12. -M. Huang, C.-Y. Li, and K.-H. Chen, “TALONet: A Power-Efficient Grid-Based Jamming Avoidance Scheme Using Multi-Detouring Technique in Wireless Sensor Networks,” in Wireless Telecommunications Symposium, 2009, pp. 1 –6.
  13. CHAKRABORTY ET AL Trust Integrated Jamming Aware Energy Efficient Routing for Wireless Multimedia Sensor Networks (TCEER). Journal of Computing and Information Technology - CIT 23, 2015, 2, 95–109.
  14. Wang, K. Sohraby, V. Lawrence, B. Li, and Y. Hu, “Priority-based jamming Organization in wireless sensor networks,” International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing,vol. 1, pp. 22–31,2006.
  15. Heikalabad SR, Ghaffari A, Hadian MA, Rasouli DPCC: dynamic predictive jamming Organization in wireless sensor networks. IJCSI Int J Comput Sci Issues 2011;8(1):472–7.
  16. Mian Ahmad Jan, Priyadarsi Nanda, Xiangjian He , Ren Ping Liu ,” PASCCC: Priority-based application-specific jamming Organization clustering protocol”,Computer Networks 74 - 2014

Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 617-624
Manuscript Number : CSEIT1846115
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. Reshma Banu, Ayesha Taranum, "A Survey on Jamming Organization in Wireless Sensor Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.617-624, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1846115

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