EiSIRS: a formal model to analyze the dynamics of worm propagation in wireless sensor networks

Xiaoming Wang (), Qiaoliang Li () and Yingshu Li ()
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Xiaoming Wang: Shaanxi Normal University
Qiaoliang Li: Georgia State University
Yingshu Li: Georgia State University

Journal of Combinatorial Optimization, 2010, vol. 20, issue 1, No 3, 47-62

Abstract: Abstract Based on the epidemic theory, this paper proposes a novel model for analyzing the dynamics of worm propagation in Wireless Sensor Networks (WSNs). The proposed model supports the sleep and work interleaving schedule policy for sensor nodes, and it can also describe the process of multi-worm propagation in WSNs. In addition, a necessary condition for worms to spread in WSNs is derived, which may be useful in designing a secure WSN. Simulation results show that the process of worm propagation in WSNs is sensitive to the energy consumption of nodes and the sleep and work interleaving schedule policy for nodes. Therefore, this paper provides new insights for the dynamics of worm propagation in WSNs.

Keywords: WSN; Worm propagation; Epidemic theory; Differential equation; Simulation (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10878-008-9190-9

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