Emergency Node Based Fault Tolerance in Wireless Sensor Networks

  • Authors

    • T Gobinath
    • A Tamilarasi
    2018-04-25
    https://doi.org/10.14419/ijet.v7i2.24.12147
  • Fault Tolerant, Wireless Sensor Network, Emergency Node, Link Failure.

  • Abstract

    In Wireless Sensor Network (WSN), fault occur due to node failure, malicious attack and link failure. Link failure causes the loss of sensitive data in a network leads to the emergency situation and influence generated and incoming data resulting in high probability of erroneous data, false packet transmission, wrong decision making and rigorous communication interruption. It leads to increase of traffic overhead and faulty node count in the network. In order to avoid this problem Emergency Node(EN) based process is proposed. Simulation clearly shows that the proposed method increased the packet delivery ratio and decreased the average delay, Energy consumption in WSN.

  • References

    1. [1] Akbari, A., Beikmahdavi, N.: ‘Cluster-based and cellular approach to fault detection and recovery in wireless sensor networks’. Third International Conference on IEEE Advanced Computer Theory and Engineering (ICACTE), 2010, 2010, vol. 5, pp. V5–148

      [2] Asim, M., Mokhtar, H., Merabti, M.: ‘A fault management architecture for wireless sensor network’. IEEE Int. Wireless Communications and MobileComputing Conf., IWCMC'08, 2008, pp. 779–785 [15] Huang, J.M., Tai, S.C., Chen, K.H.: ‘CRINet: a secure and fault-tolerant data collection scheme using 3-way forwarding and group key management in wireless sensor networks’. IEEE Wireless Telecommunications Symp., 2009, WTS 2009, 2009, pp. 1–6

      [3] Babaie, S., Rezaie, A.R.: ‘DFDM: decentralized fault detection mechanism to improving fault management in wireless sensor networks’, In (Eds): ‘Digital information and communication technology and its applications’ (Springer, Berlin Heidelberg, 2011), pp. 685–692

      [4] Babaie, S., Shojaiy, M.G.: ‘Improving fault management using voting mechanism in wireless sensor networks’. Int. Conf. on IEEE Computational Intelligence and Communication Networks (CICN), 2010, 2010, pp. 359–362

      [5] Babaie, S., Shojaiy, M.G.: ‘Improving fault management using voting mechanism in wireless sensor networks’. Int. Conf. on IEEE Computational Intelligence and Communication Networks (CICN), 2010, 2010, pp. 359–362

      [6] Bagheri, T.: ‘DFMC: decentralized fault management mechanism for cluster based wireless sensor networks’. Second Int. Conf. on IEEE Digital Information and Communication Technology and it's Applications (DICTAP),2012, 2012, pp. 67–71

      [7] A. Birolini. Quality and Reliability of Technical Systems:theory, practice, management. Springer, 1997.

      [8] Chang, F.C., Huang, H.C.: ‘A survey on intelligent sensor network and its applications’, J. Netw. Intell., 2016, 1, (1), pp. 1–15

      [9] Choi, J., Hahn, J., Ha, R.: ‘A fault-tolerant adaptive node scheduling scheme for wireless sensor networks’, J. Inf. Sci. Eng., 2009, 25

      [10] Huangshui, H., Guihe, Q.: ‘Fault management frameworks in wireless sensor networks’. Int. Conf. on IEEE Intelligent Computation Technology and Automation (ICICTA), 2011, 2011, vol. 2, pp. 1093–1096

      [11] S. Kumar, F. Zhao, and D. Shepherd, “Collaborative Signal and Information Processing in Microsensor Networks,†IEEE Signal Processing Magazine, vol. 19, no. 2, pp. 13-14, Mar. 2002.

      [12] Liu, H., Nayak, A., Stojmenovi, I.: ‘Fault-tolerant algorithms/protocols in wireless sensor networks’, In (Eds): ‘Guide to wireless sensor networks’(Springer, London, 2009), pp. 261–291 Information and Communication Technology and it's Applications (DICTAP), 2012, 2012, pp. 67–71

      [13] Liu, T.H., Yi, S.C., Wang, X.W.: ‘A fault management protocol for lowenergy and efficient wireless sensor networks’, J. Inf. Hiding Multimed. Signal Process., 2013, 4, (1), pp. 34–45

      [14] Man, K.L., Chen, C., Hughes, D.: ‘Decentralized fault detection and management for wireless sensor networks’. Fifth Int. Conf. on IEEE Future Information Technology (FutureTech), 2010, 2010, pp. 1–6

      [15] K. Martinez, P. Padhy, A. Riddoch, H. Ong, and J. Hart. Glacial environment monitoring using sensor networks.In REALWSN’ 05, 2005.

      [16] Rehana, R.T., Maneesha, R.V., Sangeeth, K.: ‘Fault tolerant clustering approaches in wireless sensor network for landslide area monitoring’. ICWN, 2008, pp. 107–113

      [17] Saleh, I., El-Sayed, H., Eltoweissy, M.: ‘A fault tolerance management framework for wireless sensor networks’, IEEE Innov. Inf. Technol., 2006, pp.1–5

      [18] A. S. Tanenbaum and M. van Steen. Distributed Systems: Principles and Paradigms.Prentice Hall, 2002.

      [19] G. Tolle, J. Polastre, R. Szewczyk, D. Culler, N. Turner, K. Tu, S. Burgess, T. Dawson, P. Buonadonna, D. Gay, and W. Hong. A macroscope in the redwoods. In SenSys ’05: Proceedings of the 3rd international conference on Embedded networked sensor systems, pages 51–63, New York, NY, USA, 2005. ACM Press.

      [20] K. Langendoen, A. Baggio, and O. Visser. Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture. In IPDPS 20th International Parallel and Distributed Processing Symposium, 2006.

      [21] Ye, L., Qiu, X., Huang, R., ‘Probability-based fault detection in wirelesssensor networks’. Int. Conf. on Network and Service Management (CNSM),2010, October 2010, pp. 218–221

      [22] Yu, M., Mokhtar, H., Merabti, M.: ‘Self-managed fault management inwireless sensor networks’. Mobile Ubiquitous Computing, Systems, Servicesand Technologies, UBICOMM'08, 2008, pp. 13–18

      [23] Abbasi, A.A., Younis, M.F., Baroudi, U.A.: ‘Recovering from a node failurein wireless sensor-actor networks with minimal topology changes’, IEEETrans. Veh. Technol., 2013, 62, (1), pp. 256–271

      [24] Afsar, M.M.: ‘Maximizing the reliability of clustered sensor networks by a fault-tolerant service’. IEEE 27th Canadian Conf. on Electrical and Computer Engineering (CCECE), 2014, pp. 1–8

      [25] Kasilingam Rajeswari, Subbu Neduncheliyan.,†Genetic algorithm based fault tolerant clustering in wireless sensor networkâ€,IET Communications,2017, pp.1927-1932.

      [26] S.V. Manikanthan , T. Padmapriya “An enhanced distributed evolved node-b architecture in 5G tele-communications network†International Journal of Engineering & Technology (UAE), Vol 7 Issues No (2.8) (2018) 248-254.March2018.

      [27] S.V.Manikanthan and K.srividhya "An Android based secure access control using ARM and cloud computing", Published in: Electronics and Communication Systems (ICECS), 2015 2nd International Conference on 26-27 Feb. 2015, Publisher:IEEE,DOI:10.1109/ECS.2015.7124833.

      [28] T. Padmapriya and V. Saminadan, “Improving Throughput for Downlink Multi user MIMO-LTE Advanced Networks using SINR approximation and Hierarchical CSI feedbackâ€, International Journal of Mobile Design Network and Innovation- Inderscience Publisher, ISSN : 1744-2850 vol. 6, no.1, pp. 14-23, May 2015.

  • Downloads

  • How to Cite

    Gobinath, T., & Tamilarasi, A. (2018). Emergency Node Based Fault Tolerance in Wireless Sensor Networks. International Journal of Engineering & Technology, 7(2.24), 504-508. https://doi.org/10.14419/ijet.v7i2.24.12147

    Received date: 2018-04-25

    Accepted date: 2018-04-25

    Published date: 2018-04-25