  In wireless sensor networks (WSNs), main task of each sensor node is to sense
the physical activity (i.e., targets or disaster conditions) and then to report
it to the control center for further process. For this, sensor nodes are
attached with many sensors having ability to measure the environmental
information. Spatial correlation between nodes exists in such wireless sensor
network based on common sensory coverage and then the redundant data
communication is observed. To study virus spreading dynamics in such scenario,
a modified SI epidemic model is derived mathematically by incorporating WSN
parameters such as spatial correlation, node density, sensing range,
transmission range, total sensor nodes etc. The solution for proposed SI model
is also determined to study the dynamics with time. Initially, a small number
of nodes are attacked by viruses and then virus infection propagates through
its neighboring nodes over normal data communication. Since redundant nodes
exists in correlated sensor field, virus spread process could be different with
different sensory coverage. The proposed SI model captures spatial and temporal
dynamics than existing ones which are global. The infection process leads to
network failure. By exploiting spatial correlation between nodes, spread
control scheme is developed to limit the further infection in the network.
Numerical result analysis is provided with comparison for validation.

Networking and Internet Architecture;Signal Processing