微信服务号

微信订阅号

2025年6月2日 3:16 星期一
首页 > 过刊浏览>2014年第25卷第s1期 >131-138
PDF HTML阅读 XML下载 导出引用 引用提醒
关于无线传感网络演化模型抗毁性分析
作者:
基金项目:

国家自然科学基金(71271165,61373174);广东省高等学校高层次人才项目(粤财教【2013】246号);浙江省科技厅重点创新团队资助项目(2010R50041);浙江省科技厅重大优先主题资助项目(2011C14024);韩山师范学院博士启动项目资助


Analysis on Resilience of Wireless Sensor Networks Growth Model
Author:
  • 摘要
    • | |
  • 访问统计
    • |
  • 参考文献 [19]
    • |
  • 相似文献 [20]
    • | | |
  • 文章评论
    摘要:

    抗毁性是评价无线传感网络拓扑结构的重要性能之一,如何构建一个健壮的网络显得尤为重要.基于复杂网络理论,提出一种关于节点度、剩余能量、传输距离的网络演化模型,简称DEDA.同时引入了几种适合无线传感网络的指标来评价网络的抗毁性.利用计算机仿真技术,比较了不同模型演化所形成的网络拓扑结构在随机和故意攻击下的抗毁性.实验结果表明,DEDA模型演化形成的无线传感网络在随机攻击和故意攻击下提供了更好的抗毁性.

    Abstract:

    Resilience has become one of the most important indicators in evaluating the topological structure of wireless sensor networks. How to construct a robust topology of WSNs is even more important. Based on complex networks theory, a topology evolution model—DEDA, which considers the node degree, the remaining energy and the transmission distance, is proposed. Some resilience metrics are introduced to analyze the resilience of WSNs and computer simulations are performed to compare the resilience of several topologies that are generated with different growth models. The experimental results show that DEDA model provides better resilience against both random and deliberate attacks.

    参考文献
    [1] Akyildiz IF, Su W, Sankarasubramaniam Y, et al. A survey on sensor networks. IEEE Communications Magazine, 2002,40(8): 102-114.
    [2] Raghavendra CS, Sivalingam KM, Znati T. Wireless Sensor Networks. Springer-Verlag, 2004.
    [3] Bari A, Jaekel A, Jiang J, et al. Design of fault tolerant wireless sensor networks satisfying survivability and lifetime requirements. Computer Communications, 2012,35(3):320-333.
    [4] Chen IR, Wang Y, Wang DC. Reliability of wireless sensors with code attestation for intrusion detection. Information Processing Letters, 2010,110(17):778-786.
    [5] Masoum A, Jahangir AH, Taghikhaki Z. Survivability modeling of wireless sensor networks. In: Proc. of the ISWCS 2008, IEEE Int'l Symp. on Wireless Communication Systems. IEEE, 2008. 593-597.
    [6] Hajiaghayi MT, Immorlica N, Mirrokni VS. Power optimization in fault-tolerant topology control algorithms for wireless multi-hop networks. In: Proc. of the 9th Annual Int'l Conf. on Mobile Computing and Networking. ACM, 2003. 300-312.
    [7] Thallner B, Moser H. Topology control for fault-tolerant communication in highly dynamic wireless network. In: Proc. of the 3rd Int'l Workshop on Intelligent Solutions in Embedded Systems. IEEE, 2005. 89-100.
    [8] Han X, Cao X, Lloyd EL, et al. Fault-Tolerant relay node placement in heterogeneous wireless sensor networks. IEEE Trans. on Mobile Computing, 2010,9(5):643-656.
    [9] Zhu H, Luo H, Peng H, et al. Complex networks-based energy-efficient evolution model for wireless sensor networks. Chaos, Solitons & Fractals, 2009,41(4):1828-1835.
    [10] Boccaletti S, Latora V, Moreno Y, et al. Complex networks: Structure and dynamics. Physics Reports, 2006,424(4):175-308.
    [11] Girvan M, Newman MEJ. Community structure in social and biological networks. Proc. of the National Academy of Sciences, 2002, 99(12):7821-7826.
    [12] Glänzel W, Schubert A. Analysing scientific networks through co-authorship. Handbook of Quantitative Science and Technology Research. Springer-Verlag, 2005. 257-276.
    [13] Huberman BA, Adamic LA. Internet: Growth dynamics of the World-Wide Web. Nature, 1999,401(6749):131.
    [14] Thadakamaila HP, Raghavan UN, Kumara S, et al. Survivability of multiagent-based supply networks: A topological perspect. IEEE Intelligent Systems, 2004,19(5):24-31.
    [15] Watts DJ, Strogatz SH. Collective dynamics of ‘small-world'networks. Nature, 1998,393(6684):440-442.
    [16] Barabási AL, Albert R. Emergence of scaling in random networks. Science, 1999,286(5439):509-512.
    [17] Wang XF, Chen G. Complex networks: Small-World, scale-free and beyond. IEEE Circuits and Systems Magazine, 2003,3(1): 6-20.
    [18] Li S, Li L, Yang Y. A local-world heterogeneous model of wireless sensor networks with node and link diversity. Physica A: Statistical Mechanics and its Applications, 2011,390(6):1182-1191.
    [19] Albert R, Jeong H, Barabási AL. Error and attack tolerance of complex networks. Nature, 2000,406(6794):378-382.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

齐小刚,王慧芳,郑耿忠,谢满德,段莉.关于无线传感网络演化模型抗毁性分析.软件学报,2014,25(s1):131-138

复制
分享
文章指标
  • 点击次数:2990
  • 下载次数: 4880
  • HTML阅读次数: 1402
  • 引用次数: 0
历史
  • 收稿日期:2014-05-10
  • 最后修改日期:2014-08-26
  • 在线发布日期: 2014-11-25
文章二维码
友情链接:中国科学院软件研究所中国计算机学会中国科学院国家自然科学基金委员会CCF数字图书馆Int'l J of Softw Info计算机系统应用
您是第19988269位访问者
版权所有：中国科学院软件研究所 京ICP备05046678号-3
地址：北京市海淀区中关村南四街4号,邮政编码：100190
电话：010-62562563 传真：010-62562533 Email：jos@iscas.ac.cn
技术支持：北京勤云科技发展有限公司

京公网安备 11040202500063号