• DocumentCode
    3020500
  • Title

    Complete ternary tree-based data aggregation routing algorithm for wireless sensor networks

  • Author

    Guo Xin ; Deng Fei-qi

  • Author_Institution
    Commun. & Inf. Coll., Guangdong Commun. Polytech., Guangzhou, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    578
  • Lastpage
    581
  • Abstract
    According to the characteristics of wireless sensor networks, a routing protocols based on complete ternary tree structure of the non-linear polynomial regression function data aggregation is proposed. Especially, The parent node receives coefficients and aggregate them with the data that coming from the surrounding non-tree node, and then pass on the new series of coefficients with the coefficients from son node to its parent node, until it reaches the sink node. Which not only greatly reduce the amount of data transmission, but also to quickly query to the location of the node information. Experimental results show that the proposed routing protocols of the nonlinear polynomial regression function data aggregation which based on complete ternary tree structure is higher accuracy and higher compression ratio than the complete binary tree-based routing protocol.
  • Keywords
    data communication; regression analysis; routing protocols; trees (mathematics); wireless sensor networks; complete ternary tree based data aggregation routing algorithm; compression ratio; data transmission; nonliinear polynomial regression function data aggregation; routing protocol; sink node; wireless sensor network; Accuracy; Binary trees; Educational institutions; Polynomials; Regression tree analysis; Routing protocols; Wireless sensor networks; complete ternary tree; data aggregation; regression function; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885129
  • Filename
    6885129