Virus spreading in wireless sensor networks with a medium access control mechanism

In this paper, an extended version of standard susceptible-infected （SI） model is proposed to consider the influence of a medium access control mechanism on virus spreading in wireless sensor networks. Theoretical analysis shows that the medium access control mechanism obviously reduces the density...

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Bibliographic Details
Published inChinese physics B Vol. 22; no. 4; pp. 70 - 74
Main Author 王亚奇 杨晓元
Format Journal Article
LanguageEnglish
Published 01.04.2013
Subjects
Access control
Computer simulation
Density
Mathematical models
Networks
Remote sensors
Spreading
Wireless networks
媒体接入控制
数值模拟
无线传感器网络
病毒传播
网络节点
节点数
节点通信
访问控制机制
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Summary:In this paper, an extended version of standard susceptible-infected （SI） model is proposed to consider the influence of a medium access control mechanism on virus spreading in wireless sensor networks. Theoretical analysis shows that the medium access control mechanism obviously reduces the density of infected nodes in the networks, which has been ignored in previous studies. It is also found that by increasing the network node density or node communication radius greatly increases the number of infected nodes. The theoretical results are confirmed by numerical simulations.
Bibliography:Wang Ya-Qi Yang Xiao-Yuan （Network and Information Security Key Laboratory of Armed Police Force, Department of Electronics Technology, Engineering University of the Chinese People’s Armed Police Force, Xi’an 710086, China）
wireless sensor networks; medium access control; virus spreading; susceptible-infected model
11-5639/O4
In this paper, an extended version of standard susceptible-infected （SI） model is proposed to consider the influence of a medium access control mechanism on virus spreading in wireless sensor networks. Theoretical analysis shows that the medium access control mechanism obviously reduces the density of infected nodes in the networks, which has been ignored in previous studies. It is also found that by increasing the network node density or node communication radius greatly increases the number of infected nodes. The theoretical results are confirmed by numerical simulations.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1674-1056
2058-3834
1741-4199
DOI:10.1088/1674-1056/22/4/040206