期刊文献+

无线传感器网络室内信道模型的研究 被引量:9

Research of indoors channel fading model in wireless sensor networks
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摘要 提出一个无线传感器网络室内环境信道衰落模型,通过对无线信道衰落模型的理论研究和根据无线传感器网络信道衰落测试系统检测的室内外数据的分析,得到无线传感器网络信道衰落模型的各个参数,确定了无线传感器网络室内信道衰落模型。通过实践应用证明,此衰落模型在实际网络的节点部署和节点定位中的作用优于其他无线信道衰落模型。 This paper presented a model about the channel fading in the indoor physical environment of the wireless sensor networks. This model provided the guarantee for the veracity of the node location and deployment in wireless sensor networks. Through the research and the computing, got the various parameters of channel fading model, and confirmed the indoor channel fading model in wireless sensor networks. The practical experiment shows that this model is better than the rest of the wireless channel fading model in the node location and deployment.
出处 《计算机应用研究》 CSCD 北大核心 2009年第12期4713-4715,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(60802030) 山东省科技攻关资助项目(2007GG2QT01007 2005GG4201017) 山东省博士基金资助项目(2007BS01003)
关键词 无线传感器网络 信道衰落模型 接收信号强度 室内外测试 wireless sensor networks channel fading model received signal strength indication indoor and outdoor testing
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参考文献9

  • 1POTrlE G J, KAISER W J. Wireless integrated network sensors [ J ]. Communications of the ACM ,2000,43(5 ) :51-58.
  • 2AKKAYA K, YOUNIS M. A survey on routing protocols for wireless sensor networks [ J ]. Elsevier Ad hoc Network Journal, 2005,3 (3) :325-349.
  • 3KARL H,WILLING A. Protocols and architectures for wireless sensor networks[M].邱天爽,唐洪,李婷,等译.北京:电子工业出版社,2007:76-83.
  • 4侯玉华.PHS和WLAN共用室内覆盖系统实现室内覆盖.中兴通讯技术,2008,7(1):2561-2565.
  • 5SAMPATH H,TALWAR S. A fourth-generation MIMO-OFDM broadband wireless system: design, performance, and field trial results [J]. IEEE Communications Magazine,2002,40(9) :143-149.
  • 6RAPPAPORT T S. Wireless communications-principles and practice [ M]. Upper Saddle River, NJ:Prentice Hall,2002.
  • 7RAPPAPORT T S. Wireless communications:principles and practice [ M ]. [ S. l. ]: Prentice Hall, 1996.
  • 8Chipcon Inc. CC2430.2.4GHz IEEE 802. 15.4/ZigBee -ready RF transceiver datasheet [ S/OL]. ( 1995 ). [ 2006-12 -18 ]. http ://www. chipcon.com/files/cc2430-Data-sheet-1-2. pdf.
  • 9NILM, LIU Yun-hao, LAU Y C, et al. Landmarc : indoor location sensing using active RFID [ C ]//Proc of IEEE Press Communication. Piscataway : IEEE Press ,2003:407-415.

共引文献4

同被引文献53

  • 1袁玉湘,李国林,张春,李冬梅,谢翔,于国霞,刘俊华,褚子乔,王志华.433MHz/900MHz楼内楼间无线信道模型[J].清华大学学报(自然科学版),2005,45(1):44-47. 被引量:8
  • 2张李明,郑世荣.多窗口自适应曲面拟合平滑技术[J].模式识别与人工智能,1996,9(4):364-368. 被引量:1
  • 3谢宏,魏江平,刘鹤立.短期负荷预测中支持向量机模型的参数选取和优化方法[J].中国电机工程学报,2006,26(22):17-22. 被引量:93
  • 4Yiek Jennifer, Mukherjee Biswanath, Ghosal Dipak. Wireless sen- sor networks survey [ J ]. Computer Networks, 2008,52 ( 12 ) : 2292 -2330.
  • 5Nissanka B, Priyantha, Hari Balakrishnan. Anchor free distributed localization in sensor networks [ R ]. Cambridge: MIT Laboratory for Computer Science,2003:462 -464.
  • 6Zheng Jungang, Wu Chengdong, Chu Hao, et al. Localization algo- rithm based on RSSI and distance geometry constrain for wireless sensor networks[ C]//Proceedings of International Conference on Electrical and Control Engineering(ICECE) ,2010:2836 -2839.
  • 7Liu Banteng, Wang Zhangquan, Chen Juhua. Research on the node location algorithm in the wireless sensor networks[ C ]//In- ternational Conference on Electrical and Control Engineering, IEEE ,2011:350 -353.
  • 8Zhang Rongbiao, Guo Jianguang, Chu Fuhuan, et al. Environmen- tal-adaptive indoor radio path loss model for wireless sensor net- works location [ C ]// Int'l J Electron Commun, AEU, 2011 : 1023 -1031.
  • 9Tang Guilin, Qiu Yunming. Improved least square method apply in ship performance analysis[ C ]//2010 3rd International Confe-Advanced Computer Theory and Engineering (ICACTE) ,2010:594 -596.
  • 10Tian Y, Tang Z A.Wireless meter reading based energy-balanced steady clustering routing algorithm for sensor networks[J].Advances in Electrical and Computer Engineering, 2011, 11(2): 9-14.

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