Background & Objective: The wireless sensor networks (WSNs) have forthcoming constraints
due to which there are serious security issues.
Methods: In this paper, we study the dynamics of worm propagation in Wireless Sensor Networks is based
on epidemic theory. The proposed model demonstrates the effect of quarantined and recovery state on
worms propagation in WSNs. This model consists of the different state of epidemics are as Susceptible-
Exposed- Infected- Quarantined- Recovered (SEIQR). The Basic Reproduction Number (R0) is a critical
value for the study of worm propagation dynamics in WSNs. If the value of is less than or equal to one the
worm-free equilibrium is globally asymptotically stable, and if is greater than one the worm will exist in the
network. This model enlightens the propagation and controlling mechanism process of worm propagation.
Derived the expression for communication radius and the node density and find the relationship with the
performance of wireless communication system is studied by changing the parameters. Control mechanism
and performance of the proposed model is validated through extensive simulation results.
Results and Discussion: Consequently, the analysis confirms improvement in the vital aspects (energy
efficiency, transmission efficiency, network reliability) for any wireless sensor network.
Conclusion: The SEIQR model provides an advanced mechanism to control worms’ propagation as
compared to the existing model.