A modified Fault Diagnosis Scheme in Wireless Sensor Net-works

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    The sensor nodes in wireless sensor networks may be deployed in unattended and possibly hostile environments. In addition, node failures and environmental hazards cause frequent topology changes, communication failures, and network partitioning. This in turn adds a new dimension to the fragility of the network topology. In this paper we propose the modified distributed algorithm that could notice the defective nodes existing pool system and upon detection removes those in order to safeguard the faulty data may arrive the wireless network. The algorithm works with twofold former one is to check for the node observations and related with them previous observations to make sure for consistency of data and later is to publish to the neighboring nodes to know the status of the error and eliminates completely from the network.


  • References


      [1] Myeong-Hyeon Lee, Yoon-Hwa Choi, “Fault detection of wireless sensor networks” 31 (2008) 3469–3475, Elseivier publications

      [2] Arunanshu Mahapatro, Pabitra Mohan Khilar “Online Distributed Fault Diagnosis in Wireless Sensor Networks” (2013) 71:1931–1960, Springer Science Business Media New York 2012

      [3] Bhaskar Krishnamachari, Sitharama Iyengar,” Fault-Tolerant Event Region Detection in Wireless Sensor Networks”53(2004), IEEE Transactions for computers

      [4] Farinaz Koushanfar, Miodrag Potkonjak, Alberto Sangiovanni-Vincentelli,” On-line Fault Detection of Sensor Measurements”, 8103-8133,2003 IEEE transactions for computers

      [5] M. Yu, H. Mokhtar, and M. Merabti, “A survey on fault management in wireless sensor networks,” in Proceedings of the 8th Annual Postgraduate Symposium, 2007.

      [6] L. Paradis and Q. Han, “A survey of fault management in wireless sensor networks,” Journal of Network and Systems Management, vol. 15, no. 2, pp. 171–190, 2007.

      [7] Gaurav Gupta Mohamed Younis,” Fault-Tolerant Clustering of Wireless Sensor Networks” (2003) IEEE, 1579-1584

      [8] A. B. Sharma, L. Golubchik, and R. Govindan, “Sensor faults: detection methods and prevalence in real-world datasets,” ACM Transactions on Sensor Networks, vol. 6, no. 3, article 23, pp. 1– 39, June 2010.

      [9] R. Jurdak, X. R. Wang, O. Obst, and P. Valencia, “Wireless sensor network anomalies: diagnosis and detection strategies,” in Intelligence-Based Systems Engineering, chapter 12, pp. 309–325, Springer, 2011.

      [10] A. Rodrigues, T. Camilo, J. S. Silva, and F. Boavida, “Diagnostic tools for wireless sensor networks: a comparative survey,” Journal of Network and Systems Management, vol. 21, no. 3, pp. 408–452, 2013.

      [11] I. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey, Computer Networks 38 (2002) 393–422.

      [12] D. Cruller, D. Estrin, M. Srivastava, Overview of sensor networks, Computer 37 (2004) 41–49.

      [13] [13] G. Jian-Liang, X. Yong-Jun, and L. Xiao-Wei1, “Weighted-median based distributed fault detection for wireless sensor networks,” J. Software, vol. 18, no. 5, pp. 1208–1217, May 2007.

      [14] A. Moustapha and R. Selmic, “Wireless sensor network modeling using modified recurrent neural networks: Application to fault detection,” IEEE Trans. Instrum. Meas., vol. 57, no. 5, pp. 981 –988, May 2008.

      [15] I. F. Akyildiz, T. Melodia, and K. R. Chowdhury, “A survey on wireless multimedia sensor networks,” Computer Networks, vol. 51, no. 4, pp. 921 – 960, 2007.

      [16] H. Min, Y. Cho, and J. Heo, “Enhancing the reliability of head nodes in underwater sensor networks,” Sensors, vol. 12, no. 2, pp. 1194–1210, 2012

      [17] S. Guo, Z. Zhong, and T. He, “Find: faulty node detection for wireless sensor networks,” in Proc. 7th ACM Conference on Embedded Networked Sensor Systems. New York, NY, USA: ACM, 2009, pp. 253–266.

      [18] Y.Nagender, Y. Chanti, B. Vijay Kumar, D.Mahesh, "Protection Issues and Disputes in Wireless Sensor Networks" in International Journal of Computer Science Engineering (IJCSE), Volume 6, Issue 12, Page No(s) 706 - 713, DEC. 2017, [ISSN (Print):2319-7323].

      [19] B. Vijay Kumar, Srinivas Aluvala, K. Sangameshwar, "Energy Mapping Approach for QoS in MANETs" in International Journal of Computer Sciences and Engineering, Volume 5, Issue 10, Page No(s) 273 - 275, OCT. 2017, [ISSN(Print):2347-2693, ISSN(Online): 2347-2693]

      [20] Deepika Vodnala, Dr. S. Phani Kumar, Srinivas Aluvala, "An Efficient On-Demand Link Failure Local Recovery Multicast Routing Protocol" in Advances in Intelligent Systems and Computing, Volume 467, Issue 1, Page No(s) 603 - 616, OCT. 2016, [ISSN (Print):978-981-10-1644-8], DOI: 10.1007/978-981-10-1

      [21] Mahapatro, Arunanshu, and Pabitra Mohan Khilar. "Fault Diagnosis in Wireless Sensor Networks: A Survey", IEEE Communications Surveys & Tutorials, 2013.


 

View

Download

Article ID: 22956
 
DOI: 10.14419/ijet.v7i1.8.22956




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.