Analysis of Virus Propagations on Community-Based Wireless Sensor Networks
Qiao Li, Jian-Gao Chen, Xiao-Feng Wang, Cheng-Wang Zhao, Bin Wu
Available Online November 2016.
- https://doi.org/10.2991/ceis-16.2016.112How to use a DOI?
- community; mathematical analysis; network structure; virus propagation
- Self-organizing dense sensor networks are expected to resolve the challenges of spectral efficiency, energy equilibrium, and device management. Because of cost and resource constraints, the sensor node is fragile to outside virus attacks. In this paper, we propose a community-based network model to depict complex network structures. Virus attacking behaviors and the virus propagation are theoretically analyzed in three cases when it spreads over the network. The mathematical analysis shows that the total number of infected nodes increases exponentially with the epidemic time. Structures of networks, the infection probability and the shortcut probability affect the rate and extent of spreading of viruses simultaneously. The conclusions are validated through simulations and evaluations, and are envisioned to have future applications in the immunization of wireless sensor networks.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qiao Li AU - Jian-Gao Chen AU - Xiao-Feng Wang AU - Cheng-Wang Zhao AU - Bin Wu PY - 2016/11 DA - 2016/11 TI - Analysis of Virus Propagations on Community-Based Wireless Sensor Networks BT - 2016 International Conference on Computer Engineering and Information Systems PB - Atlantis Press SP - 550 EP - 558 SN - 2352-538X UR - https://doi.org/10.2991/ceis-16.2016.112 DO - https://doi.org/10.2991/ceis-16.2016.112 ID - Li2016/11 ER -