期刊文献+

能量平衡的异构传感网跨层密钥管理方案 被引量:1

Energy balance based cross-layer key management scheme in heterogeneous sensor networks
下载PDF
导出
摘要 传统的传感网密钥管理协议独立于网络其他层设计,这种层间的独立性造成传感器节点物理性能浪费,网络整体性能降低。从节点剩余能量出发,提出一个能量平衡的异构传感网跨层密钥管理方案。通过节点剩余能量、节点度数等参数,从能量平衡的角度出发确定下一跳节点的选择,再利用密钥交换建立两节点间的会话密钥,该方案将网络层节点路由关系与应用层节点密钥关系结合,实现了密钥管理的跨层设计。结果表明,该方案保证节点密钥连通性的同时,均衡网络节点间的能耗关系,有效延长了异构传感网的生命周期。 Traditional network laying based network protocol can result in waste of physical performance of the sensor and cause drop of the whole performance of the network. A key management scheme for heterogeneous sensor networks based on residual energy of nodes is proposed, which balances the energy consumption among the sensors and prolonged networks lifetime. Next hop node in the forwarder space of the sensor is selected based on rest energy, node degree and so on. Meanwhile, a shared secret between two nodes is established through key exchange to make their communication more secure and trusted. The scheme combines route relation at the network layer with key relation of nodes at the application layer effectively, which realizes crosslayer design of key management. The experimental results show that the proposed algorithm guarantees key connectivity while balances energy of nodes and extends the lifetime of wireless sensor networks.
作者 袁琪 马春光 姚建盛 YUAN Qi;MA Chunguang;YAO Jiansheng(College of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China;College of Communication and Electronic Engineering,Qiqihar University,Qiqihar 161006,China;College of Computer,Jilin Normal University,Siping 136000,China)
出处 《系统工程与电子技术》 EI CSCD 北大核心 2018年第8期1846-1854,共9页 Systems Engineering and Electronics
基金 国家自然科学基金(61170241 61472097) 高等学校博士学科点专项科研基金资助课题(博导类)(20132304110017)资助课题
关键词 能量平衡 跨层 异构传感器 密钥管理 energy balance cross layer heterogeneous sensor network key management
  • 相关文献

参考文献2

二级参考文献34

  • 1杨庚,王江涛,程宏兵,容淳铭.基于身份加密的无线传感器网络密钥分配方法[J].电子学报,2007,35(1):180-184. 被引量:60
  • 2Tang X, Xu J. Optimizing lifetime for continuous data aggregation with precision guarantees in wireless sensor networks. IEEE/ACM Transactions on Networking, 2008, 16 (4): 904 -917.
  • 3Younis O, Fahmy S. Distributed clustering in ad-hoc sensor networks: A hybrid, energy efficient approach//Proceedings of the IEEE INFOCOM'04. HongKong. China, 2004: 629- 640.
  • 4Kang I, Poovendran R. Maximizing network lifetime of broadcasting over wireless stationary ad hoc networks. Mobile Networks and Applications, 2005, 10(6) :879- 896.
  • 5Berry R, Gallager R. Communication over fading channels with delay constrains. IEEE Transactions on Information Theory, 2002, 48(5): 1135-1149.
  • 6Rajah D, Sabharwal A, Aazhang B. Delay bounded packet scheduling of bursty traffic over wireless channels. IEEE Transactions on Information Theory, 2004, 50(1): 125- 144.
  • 7Yang Yu, Krishnamachari B. Energy latency tradeoffs for data gathering in wireless sensor networks//Proceedings of the INFOCOM 2004. Prasanna V K, 2004, 1:7 -11.
  • 8Li J, Mohapatra P. Analytical modeling and mitigation techniques for the energy hole problems in sensor networks. Pervasive and Mobile Computing, 2007, 3(3) : 233 -254.
  • 9Zhu Jun-Hua, Chen Shan, Bensaou B. Tradeoff between lifetime and rate allocation in wireless sensor networks: A cross layer approach//Proceedings of the INFOCOM 2007. 2007, 1:267- 275.
  • 10Lian J, Naik K, Agnew G. Data capacity improvement of wireless sensor networks using non-uniform sensor distribution. International Journal of Distributed Sensor Networks, 2006, 2(2): 121-145.

共引文献41

同被引文献18

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部