• DocumentCode
    2190611
  • Title

    W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks

  • Author

    Abdulsalam, Hanady M. ; Kamel, Layla K.

  • Author_Institution
    Inf. Sci. Dept., Kuwait Univ., Safat, Kuwait
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Many recent applications deal with continues flows of data (data streams). One important area of applications that is based on data streams is the area of Wireless Sensor Networks (WSNs) applications. Since sensors have limited lifetime, the need for developing algorithms for aggregating sensors´ data forms an important concern in the area of WSNs. We present W-LEACH, a data-stream aggregation algorithm for WSNs that extends LEACH algorithm by Heinzelman et al. W-LEACH is able to handle non-uniform networks as well as uniform networks, while not affecting the network lifetime. It, instead, increases the average lifetime for sensors. We simulate our algorithm to evaluate its performance. Results show that W-LEACH increases the network lifetime and the average lifetime for sensors for uniform and non-uniform WSNs.
  • Keywords
    data mining; pattern clustering; telecommunication computing; wireless sensor networks; W-LEACH; data mining; data stream; nonuniform WSN; nonuniform network; weighted low energy adaptive clustering hierarchy aggregation; wireless sensor network; Data aggregation; data mining; data streams; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.28
  • Filename
    5693275