• DocumentCode
    593948
  • Title

    An Improved Method of Constructing a Data Aggregation Tree in Wireless Sensor Networks

  • Author

    Bing-Hong Liu ; Ying-Hong Jhuang ; Li-Ping Tung ; Jyun-Yu Jhang

  • Author_Institution
    Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    25-28 Aug. 2012
  • Firstpage
    344
  • Lastpage
    347
  • Abstract
    With the rapid application development for wireless sensor networks, effective information collection methods are becoming increasingly emphasized. the effectiveness of data aggregation is mainly determined by the routing structure while tree is an important structure for data aggregation. Many researchers have studied the problem of how to construct a routing tree in a wireless sensor network with relay nodes so that the total transmission and reception energy cost consumed by all sensors is minimized, the so-called Minimum Energy-Cost Aggregation Tree with Relay Nodes problem. in this paper, we propose an improved method to reconstruct a routing tree so that the total energy cost can be reduced. Using simulation, we demonstrate that a shortest path routing tree applied with our proposed Reconstruction algorithm could have lower total energy cost than the original one.
  • Keywords
    telecommunication network routing; wireless sensor networks; data aggregation tree construction method; information collection methods; minimum energy-cost aggregation tree; reception energy cost; reconstruction algorithm; relay node problem; routing structure; shortest path routing tree; wireless sensor networks; Approximation algorithms; Clustering algorithms; Reconstruction algorithms; Relays; Routing; Vegetation; Wireless sensor networks; algorithm; data aggregation; routing tree; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
  • Conference_Location
    Kitakushu
  • Print_ISBN
    978-1-4673-2138-9
  • Type

    conf

  • DOI
    10.1109/ICGEC.2012.53
  • Filename
    6457275