KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

Soft Fault Detection Using an Improved Mechanism in Wireless Sensor Networks

  • Montazeri, Mojtaba (Department of Computer Engineering, Islamic Azad University) ;
  • Kiani, Rasoul (Department of Computer Engineering, Islamic Azad University)
  • Received : 2017.08.09
  • Accepted : 2018.05.03
  • Published : 2018.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Wireless sensor networks are composed of a large number of inexpensive and tiny sensors used in different areas including military, industry, agriculture, space, and environment. Fault tolerance, which is considered a challenging task in these networks, is defined as the ability of the system to offer an appropriate level of functionality in the event of failures. The present study proposed an intelligent throughput descent and distributed energy-efficient mechanism in order to improve fault tolerance of the system against soft and permanent faults. This mechanism includes determining the intelligent neighborhood radius threshold, the intelligent neighborhood nodes number threshold, customizing the base paper algorithm for distributed systems, redefining the base paper scenarios for failure detection procedure to predict network behavior when running into soft and permanent faults, and some cases have been described for handling failure exception procedures. The experimental results from simulation indicate that the proposed mechanism was able to improve network throughput, fault detection accuracy, reliability, and network lifetime with respect to the base paper.

Keywords

References

  1. S. Chouikhi, I. El Korbi, Y. Ghamri-Doudane, and L. A. Saidane, "A survey on fault tolerance in small and large scale wireless sensor networks," Comput. Commun., vol. 69, pp. 22-37, 2015. https://doi.org/10.1016/j.comcom.2015.05.007
  2. H. Alwan and A. Agarwal, "A survey on fault tolerant routing techniques in wireless sensor networks," in Proc. of Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications, SENSORCOMM'09, 18-23 June, Athens, Glyfada, Greece: IEEE, pp. 366-371, 2009.
  3. M. Zhao and T. W. Chow, "Wireless sensor network fault detection via semi-supervised local kernel density estimation," in Proc. of Proceedings of the 2015 IEEE International Conference on Industrial Technology (ICIT), 17-19 March, Seville, Spain: IEEE, pp. 1495-1500, 2015.
  4. Z. Gao, C. Cecati, and S. X. Ding, "A survey of fault diagnosis and fault-tolerant techniques—Part I: Fault diagnosis with model-based and signal-based approaches," IEEE Trans. Ind. Electron., vol. 62, no. 6, pp. 3757-3767, 2015. https://doi.org/10.1109/TIE.2015.2417501
  5. S. H. Oh, C. O. Hong, and Y. H. Choi, "A malicious and malfunctioning node detection scheme for wireless sensor networks," Wirel. Sens. Netw., vol. 4, no. 03, p. 84, 2012. https://doi.org/10.4236/wsn.2012.43012
  6. Y. Yang, Q. Liu, Z. Gao, X. Qiu, and L. Rui, "Data clustering-based fault detection in WSNs," in Proc. of Proceedings of the 2015 Seventh International Conference on Advanced Computational Intelligence (ICACI), 27-29 March, Wuyi, China: IEEE, pp. 334-339, 2015.
  7. K. P. Sharma and T. P. Sharma, "A throughput descent and energy efficient mechanism for fault detection in WSNs," in Proc. of Proceedings of the 2015 International Conference on Industrial Instrumentation and Control (ICIC), 28-30 May, Pune, India: IEEE, pp. 311-316, 2015.
  8. H. Karimi et al., "Implementing a reliable, fault tolerance and secure framework in the wireless sensor-actuator networks for events reporting," Procedia Comput. Sci., vol. 73, pp. 384-394, 2015. https://doi.org/10.1016/j.procs.2015.12.007
  9. A. A. Abbasi and M. Younis, "A survey on clustering algorithms for wireless sensor networks," Comput. Commun., vol. 30, no. 14, pp. 2826-2841, 2007. https://doi.org/10.1016/j.comcom.2007.05.024
  10. A. Mahapatroa and P. M. Khilar, "Transient fault tolerant wireless sensor networks," Procedia Technol., vol. 4, pp. 97-101, 2012. https://doi.org/10.1016/j.protcy.2012.05.013
  11. N. Alrajei and H. Fu, "A survey on fault tolerance in wireless sensor networks," in Proc. of Proceedings of the 2014 American Society for Engineering Education (ASEE) North Central Section Conference, 4-5 April, Oakland University, Rochester Hills, USA, pp 366-371, 2014.
  12. L. M. S. De Souza, H. Vogt, and M. Beigl, "A survey on fault tolerance in wireless sensor networks," Sap Res. Braunschw. Ger., 2007.
  13. K. Nitesh, M. Azharuddin, and P. K. Jana, "Energy efficient fault-tolerant clustering algorithm for wireless sensor networks," in Proc. of Proceedings of the 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), 8-10 Oct, Noida, India: IEEE, pp. 234-239.
  14. P. Tang and T. W. Chow, "Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field," in Proc. of Proceedings of the 2015 13th International Conference on Industrial Informatics (INDIN), 22-24 July, Cambridge, UK: IEEE, pp. 1130-1135, 2015.
  15. S. Vigneshwari and S. Devi, "Fault Diagnosis inWSN Using Optimized Neighborhood Hidden Conditional Random Field," International Journal of Modern Trends in Engineering and Science, Vol 4, pp. 4-6, 2017.
  16. M. Azharuddin and P. K. Jana, "A PSO based fault tolerant routing algorithm for wireless sensor networks," Information systems design and intelligent applications, Springer, pp. 329-336, 2015.
  17. G. Venkataraman, S. Emmanuel, and S. Thambipillai, "Energy-efficient cluster-based scheme for failure management in sensor networks," IET Commun., vol. 2, no. 4, pp. 528-537, 2008. https://doi.org/10.1049/iet-com:20070360
  18. J. Jianfeng, "Research on Hierarchical Routing Algorithm of Wireless Sensor Networks," in Proc. of Proceedings of the 2015 2nd International Conference on Information Science and Control Engineering (ICISCE), 24-26 April, Shanghai, China: IEEE, pp. 429-432, 2015.
  19. K. Rajeswari and S. Neduncheliyan, "Genetic algorithm based fault tolerant clustering in wireless sensor network," IET Commun., vol. 11, no. 12, pp. 1927-1932, 2017. https://doi.org/10.1049/iet-com.2016.1074
  20. T. P. Vieira, P. E. Almeida, and M. R. Meireles, "Intelligent fault management system for wireless sensor networks with reduction of power consumption," in Proc. of Proceedings of the 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), 19-21 June, Edinburgh, UK: IEEE, pp. 1521-1527, 2017.
  21. Zidi, S., Moulahi, T. and Alaya, B., "Fault Detection inWireless Sensor Networks Through SVM Classifier," IEEE Sensors Journal, 18(1), pp.340-347, 2018. https://doi.org/10.1109/JSEN.2017.2771226
  22. Abdul-Salaam, G., Abdullah, A.H. and Anisi, M.H., 2017. "Energy-efficient data reporting for navigation in position-free hybrid wireless sensor networks," IEEE Sensors Journal, 17(7), pp.2289-2297. https://doi.org/10.1109/JSEN.2017.2665663
  23. Banerjee, I., Chanak, P., Rahaman, H., & Samanta, T., "Effective fault detection and routing scheme for wireless sensor networks," Computers & Electrical Engineering, 40(2), 291-306, 2014. https://doi.org/10.1016/j.compeleceng.2013.04.027
  24. Lu Wei, Yang Yuwang, Zhao Wei and Wang, "Practical Node Deployment Scheme Based on Virtual Force for Wireless Sensor Networks in Complex Environment," KSII Transactions on Internet and Information Systems, vol. 9, no. 3, pp. 990-1013, 2015. https://doi.org/10.3837/tiis.2015.03.009