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Node correlation clustering algorithm for wireless multimedia sensor networks based on overlapped FoVs 被引量:8

Node correlation clustering algorithm for wireless multimedia sensor networks based on overlapped FoVs
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摘要 In this paper, a clustering algorithm is proposed based on the high correlation among the overlapped field of views for the wireless multimedia sensor networks. Firstly, by calculating the area of the overlapped field of views (FoVs) based on the gird method, node correlations have been obtained. Then, the algorithm utilizes the node correlations to partition the network region in which there are high correlation multimedia sensor nodes. Meanwhile, in order to minimize the energy consumption for transmitting images, the strategy of the cluster heads election is proposed based on the cost estimation, which consists of signal strength and residual energy as well as the node correlation. Simulation results show that the proposed algorithm can balance the energy consumption and extend the network lifetime effectively. In this paper, a clustering algorithm is proposed based on the high correlation among the overlapped field of views for the wireless multimedia sensor networks. Firstly, by calculating the area of the overlapped field of views (FoVs) based on the gird method, node correlations have been obtained. Then, the algorithm utilizes the node correlations to partition the network region in which there are high correlation multimedia sensor nodes. Meanwhile, in order to minimize the energy consumption for transmitting images, the strategy of the cluster heads election is proposed based on the cost estimation, which consists of signal strength and residual energy as well as the node correlation. Simulation results show that the proposed algorithm can balance the energy consumption and extend the network lifetime effectively.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2013年第5期37-44,共8页 中国邮电高校学报(英文版)
基金 supported by the National Natural Science Foundation of China (60973139, 61170065, 61171053, 61003039, 61003236, 61103195) the Natural Science Foundation of Jiangsu Province (BK2011755) Scientific & Technological Support Project (Industry) of Jiangsu Province (BE2010197,BE2010198, BE2011844, BE2011189) Natural Science Key Fund for Colleges and Universities in Jiangsu Province (11KJA520001) the Jiangsu Provincial Research Scheme of Natural Science for Higher Education Institutions(10KJB520013, 11KJB520014,11KJB520016) Scientific Research & Industry Promotion Project for Higher Education Institutions(JH2010-14, JHB2011-9) Postdoctoral Foundation (20100480048) Science & Technology Innovation Fund for higher education institutions of Jiangsu Province (CX10B-196Z,CX10B-200Z,CXZZ11-0405, CXZZ11-0406, CXZZ11_0409) Doctoral Fund of Ministry of Education of China(20103223120007, 20113223110002) key Laboratory Foundation of Information Technology processing of Jiangsu Province (KJS1022) Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD),(K93-9-2010-13) the Project of Priority Academic Program Development of Jiangsu Higher Education Institutions (yx002001) Research Fund of Jiangsu Suqian College (2012ky17)
关键词 wireless multimedia sensor networks overlapped FoVs node correlation CLUSTERING wireless multimedia sensor networks, overlapped FoVs, node correlation, clustering
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  • 1段渭军,王建刚,王福豹.无线传感器网络节点定位系统与算法的研究和发展[J].信息与控制,2006,35(2):239-245. 被引量:42
  • 2陈维克,李文锋,首珩,袁兵.基于RSSI的无线传感器网络加权质心定位算法[J].武汉理工大学学报(交通科学与工程版),2006,30(2):265-268. 被引量:207
  • 3周四望,林亚平,张建明,欧阳竞成,卢新国.传感器网络中基于环模型的小波数据压缩算法[J].软件学报,2007,18(3):669-680. 被引量:41
  • 4MARGI C B, PETKOV V, OBRACZKA K, et al.. Characterizing energy consumption in a visual sensor network testbed [C]. Proceedings of the 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2006:332-339.
  • 5PRADHAN S S, KUSUMA J, RAMCHANDRAN K. Distributed compression in a dense microsensor network [J]. IEEE Signal Processing Magazine, 2002,3:51-60.
  • 6WAGNER R, NOWAK R, BARANIUK R. Distributed image compression for sensor networks using correspondence analysis and super-resolution[C]. Proceedings of the 2003 International Conference on Image Processing, 2003 : 597- 600.
  • 7WU H M, ABOUZEID A A. Power aware image transmission in energy constrained wireless networks[C]. Proceedings of the 9th International Symposium on Computers and Communications, 2004 : 202-207.
  • 8HEINZELMAN W B. Application-specific protocol architectures for wireless networks [D]. Cambridge:Massachusetts Institute of Technology, 2000.
  • 9WANG A, CHANDRAKASAN A. Energy efficient DSPs for wireless sensor networks [J]. IEEE Signal Processing Magazine, 2002,6 : 68- 78.
  • 10ZUNIGA M, KRISHNAMACHARI B. Analyzing the transitional region in low power wireless links [C]. Proceedings of the 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004: 517-526.

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