WANG Xiaoming and LI Yingshu, “An Improved SIR Model for Analyzing theDynamics of Worm Propagation in WirelessSensor Networks,” Chinese Journal of Electronics, vol. 18, no. 1, pp. 8-12, 2009,
Citation:
WANG Xiaoming and LI Yingshu, “An Improved SIR Model for Analyzing theDynamics of Worm Propagation in WirelessSensor Networks,” Chinese Journal of Electronics, vol. 18, no. 1, pp. 8-12, 2009,
WANG Xiaoming and LI Yingshu, “An Improved SIR Model for Analyzing theDynamics of Worm Propagation in WirelessSensor Networks,” Chinese Journal of Electronics, vol. 18, no. 1, pp. 8-12, 2009,
Citation:
WANG Xiaoming and LI Yingshu, “An Improved SIR Model for Analyzing theDynamics of Worm Propagation in WirelessSensor Networks,” Chinese Journal of Electronics, vol. 18, no. 1, pp. 8-12, 2009,
By introducing the new concept of deadstate of nodes in WSNs and the Susceptible-infectiousrecovered-susceptible (SIRS) mechanism of worm propagation, this paper improves the SIR (Susceptible-infectiousrecovered) model, and proposes a novel model to analyzethe dynamics of worm propagation in Wireless sensor networks (WSNs), called the iSIRS model. The iSIRS modelis based on the epidemic theory, consists of a group ofdifferential equations, and it can effectively describe theprocess of worm propagation with energy consumption ofnodes in WSNs. Simulation results demonstrate the validity of the iSIRS model.