• DocumentCode
    615979
  • Title

    An integrating data gathering scheme for wireless sensor networks

  • Author

    Zhongcheng Wei ; Yongmei Sun ; Yuefeng Ji

  • Author_Institution
    State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    1151
  • Lastpage
    1156
  • Abstract
    Direct reporting, partial nodes selection and compressive sensing are three common types of data gathering in wireless sensor networks. Integrating the above three techniques together for a better performance has been paid many attentions. Hybrid-CS is an effective way to save energy for data gathering, which adopts direct reporting method instead of compressive sensing in the area near the leaf nodes. This paper presents a higher-level hybrid scheme that integrates partial nodes selection into compressive sensing by using a threshold, so as to extend the area before compressive sensing. For this idea, we give a completed theoretical analysis of the relationship between energy consumption and different parameters settings, then we present the influence of different parameters acting on network performance under three general scenarios. At last, we run extensive simulations on the real data trace of Citysee system and the results show that the proposed integrating scheme can realize the purpose of network performance optimization.
  • Keywords
    compressed sensing; optimisation; wireless sensor networks; Citysee system; compressive sensing; data gathering scheme; direct reporting; energy consumption; higher-level hybrid scheme; network performance optimization; partial nodes selection; wireless sensor networks; Compressed sensing; Correlation; Energy consumption; Monitoring; Routing; Topology; Wireless sensor networks; Compressive sensing; Data gathering; Partial nodes selection; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554726
  • Filename
    6554726