期刊文献+

无线传感器网络自适应功率调整机制研究 被引量:2

Adaptive power adjustment mechanism for wireless sensor networks
下载PDF
导出
摘要 无线传感器网络功率调整技术对于WSN节点的能量效率、生存时间、丢包率等性能均有显著影响,是其实用化的重要支撑技术。现提出了一种适用于无线传感器网络的自适应功率调整机制,只需要利用节点间的接收信号强度指示(RSSI)值,通过动态调整终端节点的功率值可以获得相对合适的发射功率,从而降低终端节点的能耗,可以适当延长节点的生存时间。实验结果证实了所提方法的有效性。 Power control techniques for wireless sensor networks are significant for WSN nodes' energy efficiency, survival time, packet loss rate and etc. It is one of the supporting technologies for the deployment of wireless sensor networks. This paper presents a wireless sensor network for adaptive power adjustment mechanism between the nodes only need to use the received signal strength indication (RSSI) value by dynamically adjusting the power value of terminal nodes can be obtained relatively appropriate transmit power, thus reduce the energy consumption of the terminal nodes, the nodes can be extended survival time. The experimental results demonstrate the effectiveness of the proposed method.
作者 吕涛 施伟斌
出处 《信息技术》 2014年第3期134-136,共3页 Information Technology
关键词 无线传感器网络 功率调整 自适应机制 wireless sensor networks power adjustment adaptive mechanism
  • 相关文献

参考文献5

二级参考文献27

  • 1陈积明,林瑞仲,孙优贤.无线传感器网络通信体系研究[J].传感技术学报,2006,19(4):1290-1295. 被引量:23
  • 2[1]Asada G,Dong M,Lin T S,et al.Wireless Integrated Net-work Sensors (WINS) for Tactical Information System[C]//Proceeding of the 1998 European Solid State Circuits Confer-ence.New York:ACM Press,1998.15-20.
  • 3[3]Amit Sinha,Anantha Chandrakasan.Dynamic Power Manage-ment In Wireless Sensor Networks[J].IEEE selected & test of computer,2001,18(2),62-74.
  • 4[4]Gutnik V.Variable Supply Voltage for Low Power DSP[D].M.S.thesis,Massachusetts Institute of Technology,Cam-brige,1996.
  • 5[5]V Gumik,AP Chandrakasan.Embedded Power Supply for Low-Power DSP[J].IEEE Trans.On Very Large Scale Inte-gration (VLSI)Systems,1997,5(4):425-435.
  • 6[6]Chaeseok I,Huiseok K,Soonhoi H.Dynamic Voltage Sched-uling Technique for Low-Power Multimedia Applications U-sing Buffers[C]//Proceedings of the 2001 International Sym-posium on Low Power Electronics and Design.Huntington Beach,California,USA.ACM Press,2001.34-39.
  • 7[7]Manzak A,Chakrabarti C.Optimum Buffer Size for Dynamic Voltage Processors[J].Lecture Notes in Computer.Science,2004,3254,711-721.
  • 8[8]Jin Z,Symeon P,Jie Y.Adaptive Localized Qos-Constrained Data Aggregation and Processing in Distributed Sensor Net-works[J].IEEE Transactions on Parallel and Distributed Sys-tems,2006,17(19):923-933.
  • 9[9]Vasanth V,Michael F.Power Reduction Techniques for Mi-croprocessor System[J].ACM computing survey,2005,37(3):195-237.
  • 10[10]Xiao F,Carla ES,Alvin LR.The Synergy Between Power-Aware Memory Systems and Processor Voltage Scaling[C]//Proceedings of the Workshop on Power-Aware Computer Systems (PACS),2003:164-179.

共引文献23

同被引文献4

引证文献2

二级引证文献16

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