Study on Spreading of Virus Infection with SIRS Characteristic in Wireless Sensor Networks

Abstract

In the precondition of the basic connectivity of wireless sensor networks, how to control spreading of the virus infection is the most challenging security problem in a large number of sensor nodes deployed randomly. Existing research results show that network topology is complex and spreading of virus infection heavily. In order to constitute the reasonable immune strategy and control the spreading of virus infection effectively in sensor networks. in this paper, a virus spreading model with average degree constraint was proposed. For this model, With increasing communication radius and constraining node degree, the inconsistency of network topology connectivity and sparseness can be solved. Our scheme can decrease working nodes, guarantee network topology sparseness; the effect of activity nodes-density d, spread efficiency lambda on the spreading of virus infection was studied. The theoretical analysis and analog simulation show that there is a critical value in this model based on average degree constraint, and only when the product of spread efficiency and activity nodes-density goes beyond the critical value that the virus infection can spread continuously.