Abstract
Survivability of Wireless Sensor Network(WSN) can be defined as the capability to fulfill its mission in the presence of attacks, accidents and failures. In this paper, we propose a survivability model for cluster-based WSN, in which the state of each cluster is regarded as a stochastic process based on a semi-Markov process (SMP) and Discrete Time Markov Chain (DTMC). The isolation problem between clusters is discussed. Quantitive survivability is obtained based on k connectivity. Numerical results show our model is effective.
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Chang, C., Zhu, C., Wang, H., Pei, C. (2012). Survivability Evaluation of Cluster-Based Wireless Sensor Network under DoS Attack. In: Wang, Y., Zhang, X. (eds) Internet of Things. Communications in Computer and Information Science, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32427-7_18
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DOI: https://doi.org/10.1007/978-3-642-32427-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32426-0
Online ISBN: 978-3-642-32427-7
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