期刊文献+

基于云模型的WSN能量消耗平衡研究 被引量:1

Research on the Energy Consumption Balance in WSN Based on Cloud Theory
下载PDF
导出
摘要 为了有效解决无线传感器网络中节点能量消耗平衡的问题,基于云模型提出了一种新的刻画算法ECBC(Energy Consumption Balance based on Cloud theory).该算法首先结合节点剩余能量和数据有效传输距离定义了评价指标,并且利用云模型对该评价指标进行求解.同时,利用OPENT进行仿真实验,深入分析了影响该算法的关键因素,并且对比分析了ECBC与其它算法之间的性能状态,结果表明该算法具有较好的适应性. In order to mitigate the energy consumption balance problem in wireless network transmission, a novel depicted algorithm ECBC(Energy Consumption Balance based on Cloud theory) is proposed based on cloud theory. In this algorithm, the evaluation index is defined by node remainder energy and data effective transmission distance at first, which is calculated with cloud theory. Then, a simulation was conducted to study the key factor of this algorithm with OPENT. The result shows that, compared to other algorithm, it has good suitability.
作者 李文泽
出处 《微电子学与计算机》 CSCD 北大核心 2014年第2期90-93,共4页 Microelectronics & Computer
基金 国家自然科学基金项目(U1204613)
关键词 无线传感器网络 能量消耗 有效传输距离 评价指标 云模型 WSN energy consumption effective transmission distance evaluation Index cloud theory
  • 相关文献

参考文献8

二级参考文献81

  • 1刘明,曹建农,陈贵海,陈力军,王晓敏,龚海刚.EADEEG:能量感知的无线传感器网络数据收集协议[J].软件学报,2007,18(5):1092-1109. 被引量:67
  • 2朱红松,孙利民,徐勇军,李晓维.基于精细化梯度的无线传感器网络汇聚机制及分析[J].软件学报,2007,18(5):1138-1151. 被引量:20
  • 3Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Computer Networks, 2008, 52(12): 2292-2330.
  • 4Al-Karaki J N, Kamal A E. Routing techniques in wireless sensor networks: a survey. IEEE Wireless Communications, 2004, 11(6): 6-28.
  • 5Abbasi A A, Younis M. A survey on clustering algorithms for wireless sensor networks. Computer Communications, 2007, 30(14-15): 2826-2841.
  • 6Heinzelman W B, Chandrakasan A P, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 2002, 1(4): 660-670.
  • 7Lindsey S, Raghavendra C S. PEGASIS: power-efficient gathering in sensor information systems. In: Proceedings of the IEEE Aerospace Conference. Montana, USA: IEEE, 2002. 1125-1130.
  • 8Manjeshwar A, Agrawal D P. TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of the 15th International Parallel and Distributed Processing Symposium Workshops. San Francisco, USA: IEEE, 2001. 2009-2015.
  • 9Younis O, Fahmy S. HEED: a hybrid, energy-efficient, distributed clustering approach for Ad Hoc sensor networks. IEEE Transactions on Mobile Computing, 2004, 3(4): 366-379.
  • 10Melese D G, Xiong H G, Gao Q. Consumed energy as a factor for cluster head selection in wireless sensor networks. In: Proceedings of the 6th International Conference on Wireless Communications, Networking and Mobile Computing. Chengdu, China: IEEE, 2010. 1-4.

共引文献231

同被引文献4

引证文献1

二级引证文献5

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