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Improving the Invulnerability of Wireless Sensor Networks Against Cascading Failure

  • Rika Mariam BoseEmail author
  • N. M. Balamurugan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)

Abstract

Wireless Sensor Networks consist of thousands of sensors to monitor the environment. The sensors nodes when operating in a harsh environment are prone to energy depletion, hardware failure and other attacks. If a sensor node fails, its load is transmitted to the neighboring node where the load increases making that node to fail which leads to the cascading failures in the sensor nodes. The invulnerability of WSN needed to be established . The invulnerability can be achieved in the network by using a threshold value. If the node’s value is below the threshold value then there is no chance for cascading failure to occur. If the node’s value is nearer to the threshold value then some preventive measures can be taken by reducing the network performance and the energy dissipation by selecting efficient cluster heads. If the node’s value goes completely beyond the threshold value then the performance of the network can be completely reduced and the nodes can be relocated using capacity expansion schemes.

Keywords

Invulnerability Cascading failure Sensor node Cluster head WSN 

References

  1. 1.
    Liu, H.-H., Jia-Jang, S., Chou, C.-F.: Analysis on invulnerability of wireless sensor network towards cascading failures based on coupled map lattice. IEEE Syst. J. 11(4), 2374–2382 (2018)CrossRefGoogle Scholar
  2. 2.
    Dobslaw, F., Zhang, T., Gidlund, M.: End-to-end reliability-aware scheduling for wireless sensor networks. IEEE Trans. Ind. Inf. 12(2), 758–767 (2016)CrossRefGoogle Scholar
  3. 3.
    Song, J., Cotilla-Sanchez, E., Ghanavati, G., Hines, P.D.: Dynamic modelling of cascading failure in power systems. IEEE Trans. Power Syst. 31(3), 2085–2095 (2016)CrossRefGoogle Scholar
  4. 4.
    Asim, M., Moktar, H., Khan, M.Z., Merabti, M.: A sensor relocation scheme for wireless sensor networks. In: IEEE Workshops of International Conference, pp. 808–813 (2011)Google Scholar
  5. 5.
    Cai, Y., Cao, Y., Li, Y., Huang, T., Zhou, B.: Cascading failure analysis considering interaction between power grids and communication networks. IEEE Trans. Smart Grid 7(1), 530–538 (2016)CrossRefGoogle Scholar
  6. 6.
    Tian, X., Zhu, Y.-H., Chi, K., Liu, J., Zhang, D.: Reliable and energy efficient data forwarding in industrial wireless sensor networks. IEEE Syst. J. 11(3), 1424–1434 (2017)CrossRefGoogle Scholar
  7. 7.
    Dey, P., Mehra, R., Kazi, F., Wagh, S., Singh, N.M.: Impact of topology on the propagation of cascading failure in power grid. IEEE Trans. Smart Grid 7(4), 1970–1978 (2016)CrossRefGoogle Scholar
  8. 8.
    Guo, L., Ning, Z., Song, Q., Zhang, L., Jamalipour, A.: A QoS-oriented high-efficiency resource allocation scheme in wireless multimedia sensor networks. IEEE Sens. J. 17(5), 1538–1548 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Sri Venkateswara College of EngineeringSriperumbudurIndia

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