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基于最短时延的认知无线电网络安全路由算法 被引量：2

Security Routing Algorithm Based on Shortest Delay for Cognitive Radio Networks
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摘要 针对认知无线电网络可用频谱动态变化和路由过程中出现的安全问题,提出将最短数据传输时延和高安全等级路由作为选路标准,设计了一种跨层路由选择算法。算法通过优化转发节点个数和各转发节点接收、发送数据信道来减少数据传输时延。通过选择具有高安全级别的转发节点来保证路由的安全性。理论分析表明算法是高效和可行的。它的时间复杂度是O(N2),其中N是拓扑图中节点的个数。 The paper proposed a cross-layer routing selection algorithm, which considers the shortest delay and highest security as routing selection standard. The routing algorithm aims to solve the problem of both the dynamic spectrum and security problem in cognitive radio networks. The Algorithm reduces the data transfer delay by optimizing the number of forwarding nodes and selecting channel for transmitting and receiving, and ensures routing security by choosing a forwarding node of high level security. The results of theory analysis show that the algorithm is efficient and feasible. The computing complexity of the algorithm is O（N^2 ） ,where N is the number of nodes in the network topology graph.
作者 薛楠 周贤伟 林琳 周健
机构地区 北京科技大学信息工程学院通信工程系
出处 《计算机科学》 CSCD 北大核心 2010年第1期68-71,共4页 Computer Science
基金 国家自然科学基金项目(No.60773074)认知无线电安全关键技术研究资助
关键词 认知无线电网络 跨层路由选择算法 安全路由 最短时延 Cognitive radio networks,Cross-layer routing selection algorithm, Secure routing,Shortest delay
分类号 TP309.2 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献14

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二级参考文献12

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共引文献18

同被引文献50

  • 1Chen R, Park J M. Ensuring Trustworthy Spectrum Sensing in Cognitive Radio Networks[C]. Proceedings of IEEE Workshop of Networking Technologies for Software Defined Radio Networks, Washington: IEEE Computer Society, 2006, 110-119.
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  • 3Huahui Wang, Lightfoot L, Tongtong Li. On PHY-layer security of cognitive radio: Collaborative sensing under malicious attacks [C]. Proceedings of 2010 44th Annual Conference on Information Sciences and Systems (CISS), Washington: IEEE Computer Society, 2010, 1-6.
  • 4Noon, E, Hnsheng Li. Defending against Hit-and-Run Attackers in Collaborative Spectrum Sensing of Cognitive Radio Networks: A Point System[C]. Proceedings of 2010 IEEE 71st Vehicular Technology Conference (VTC 2010-Spring), Washington: IEEE Computer Society, 2010, 11-15.
  • 5Husheng Li, Zhu Han. Catch Me if You Can: An Abnormality Detection Approach for Collaborative Spectrum Sensing in Cognitive Radio Networks[J]. IEEE Transactions on Wireless .Communications, 2010, 9 (11): 3554-3565.
  • 6Zhu Q, Han Z, Basar T. No-Regret Learning in Collaborative Spectrum Sensing with Malicious Nodes[C]. Proceedings of 2010 IEEE International Conference on Communications (ICC), Washington: IEEE Computer Society, 2010, 1-6.
  • 7Fatemieh O, Chandra R, Gunter C A. Secure Collaborative Sensing for Crowd Sourcing Spectrum Data in White Space Networks[C]. Proceedings of 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum, Washington: IEEE Computer Society, 2010, 1-12.
  • 8Ankit Singh Rawat, Priyank Anand, Hao Chen, et al. Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks[J]. IEEE Transactions on Signal Processing, 2011, 59 (2): 774-786.
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二级引证文献6

计算机科学
2010年 第1期

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