International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Time Based Fault Detection and Isolation In Wireless Sensors Network

Author NameAuthor Details

Imane Merzougui, Youssef Benabbassi

Imane Merzougui[1]

Youssef Benabbassi [2]

[1]Department of Computer Science, University of Béchar, Algeria.

[2]University of Bechar, Laboratory RIIR Univ-Oran, Algeria.

Abstract

Wireless sensor networks have paved the way for the creation of a new generation of applications in a variety of fields. The main aim of this article is to simulate some faults in the behavior of wireless sensor networks. These faults can be classified as “failures” or “intrusions”, and in our work, we have focused on the three following faults: external factors (such as Animals, weather ...), a jamming attack in which the attacker is a mobile entity, and finally an inundation attack (successive Hello messages). In order to address the above issues we have designed a method for the detection and isolation of a faulty sensor and a simulator to show the influence of failures and to test the effectiveness of our solution using C++ programming language. This simulation is Capable of detecting and isolating a faulty sensor even in the case when multiple sensors break down at the same time.

Index Terms

Wireless Sensors Network

Fault Detection and Isolation

Attacks

Energy consumption

Simulation

Reference

  1. 1.
    D. Estrin et al.,” Embedded, Everywhere: A Research Agenda for Networked Systems of Embedded Computers,” (Nat’l Research Council Report), 2001.
  2. 2.
    A. Anuba Merlyn, A. Anuja Merlyn, ‘‘Energy Efficient Routing (EER) For Reducing Congestion and Time Delay in Wireless Sensor Network’’, International Journal of Computer Networks and Applications (IJCNA), ISSN: 2395-0455, Volume 1, Issue 1, November – December, 2014, pp.1-10.
  3. 3.
    Sercan VANÇİN, Ebubekir ERDEM, ‘‘Design and Simulation of Wireless Sensor Network Topologies Using the ZigBee Standard’’,International Journal of Computer Networks and Applications (IJCNA), ISSN: 2395-0455, Volume 2, Issue 3, May – June, 2015, , pp. 135-143.
  4. 4.
    Prachi, ‘’ A Probabilistic Key management Protocol based on Kryptograph for WSN’’, International Journal of Computer Networks and Applications, ISSN: 2395-0455, Volume 2, Issue 2, March –April, 2015, pp.76-83
  5. 5.
    Jiang P.,” A New Method for Node Fault Detection in Wireless Sensor Networks. Sensors” (Basel, Switzerland), 2009, pp.1282-1294.
  6. 6.
    Chessa S., Santi P.,” Comparison based system level fault diagnosis in Ad hoc networks (Proceedings of IEEE 20th Symp),” On Reliable Distributed Systems (SRDS) New Orleans. IEEE Press; 2001. pp. 257–266.
  7. 7.
    Chessa S, Santi P,” Crash faults identification in wireless sensor networks,” Comput. Common, 2002, pp. 1273–1282.
  8. 8.
    Chen J.R., Kher S., “Somani A, Distributed fault detection of wireless sensor networks”. Proceedings of the International Conference on Mobile Computing and Networkings; Los Angeles, CA, USA. September 2006, pp. 65–72.
  9. 9.
    Krishnamachari B., Iyengar S.,” Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks”. IEEE Trans. Compute, 2004, pp. 241–250.
  10. 10.
    Koushanfar F., Potkonjak M., “Vincentelli A.S. On-Line Fault Detection of Sensor Measurements,” Proceedings of the IEEE Sensors; Toronto, ON, Canada, October 2003, pp. 974–979.
  11. 11.
    M. Lee and Y. Choi, “Fault Detection of Wireless Sensor Networks,”Elsevier Computer Communications, vol. 31, no. 14 September 2008, pp. 3469–3475.
  12. 12.
    P. Khilar and S. Mahapatra, “Intermittent Fault Diagnosis in Wireless Sensor Networks,” in Proc. of IEEE 10th International Conference on Information Technology (ICIT), Rourkela, India, December 2007.
  13. 13.
    Miao X., Liu K., He Y., Liu Y. Papadias D.,” Agnostic diagnosis: Discovering silent failures in wireless sensor networks,” Proceedings of the IEEE INFOCOM; Shanghai, China. 10–15, April 2011, pp. 1548–1556.
  14. 14.
    Ruiz LB, Siqueira IG, Oliveira LBe, Wong HC, Nogueira JM, Loureiro AAF. “Fault management in event-driven wireless sensor networks,” In: Proc. of the 7th ACM Int’l Symp. On Modeling, Analysis and Simulation of Wireless and Mobile Systems. Venice, 2004, pp.149−156.
  15. 15.
    Maria Jesús de la Fuente,” Fault Detection and Isolation: an overview,” Dpto. Ingenieria de Sistema’s y Automatico Universiade de Valladolid. 2010
  16. 16.
    P.M. Frank, E. Alcorta Garcia, B. Köppen-Seliger,” Modelling for fault detection and isolation versus modelling for control,” Department of Measurement and Control, Gerhard-Mercator-University Duisburg, Bismarckstr Duisburg, Germany Accepted 28 July 2000.
  17. 17.
    Simani, S., Fantuzzi, C., & Patton, R. J.,” Model-based fault diagnosis in dynamic systems using identification techniques”. Springer Science & Business Media, 2013.
  18. 18.
    Saranya, J., & Padmavathi, G.,” A Brief Study on Different Intrusions and Machine Learning-based Anomaly Detection Methods in Wireless Sensor Networks”. Int. J. Advanced Networking and Applications, 2015, pp. 2414-2421.
  19. 19.
    Chiang, J. T., & Hu, Y. C.,” Cross-layer jamming detection and mitigation in wireless broadcast networks,” In Proceedings of the 13th annual ACM international conference on Mobile computing and networking, 2007, September, pp. 346-349.
SCOPUS
SCImago Journal & Country Rank