• DocumentCode
    560937
  • Title

    A Distance Vector Algorithm for Wireless Sensor Networks by combining Resource-Aware framework

  • Author

    Syarif, Muhammad Ilyas ; Parenreng, Jumadi M. ; Djanali, Supeno ; Shiddiqi, Ary Masharuddin

  • Author_Institution
    Electr. Eng., Politek. Negeri Ujung Pandang, Pandang, Indonesia
  • fYear
    2011
  • fDate
    17-18 Dec. 2011
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    Efficiency energy and stream data mining on Wireless Sensor Networks (WSNs) is a very interesting issue to be discussed. Routing protocols technology and resource-aware can be done to improve energy efficiency. In this paper we will try to merging routing protocol technology using routing Distance Vector and Resource-Aware (RA) framework. RA perform resource monitoring process of the battery, memory and CPU load, so that uses of these three resources more optimally and efficiently. The mining data streaming process uses Light-Weight Clustering (LWC) and Light Weight Frequent Item (LWF). Results obtained that involves adaptation of Resource-Aware in terms of lifetime of wireless sensor networks shows improvement of up to ±16.62%.
  • Keywords
    data mining; routing protocols; wireless sensor networks; distance vector algorithm; light weight clustering; light weight frequent item; mining data streaming process; resource aware framework; resource monitoring process; routing protocols; wireless sensor network; Algorithm design and analysis; Batteries; Data mining; Routing; Testing; Vectors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on
  • Conference_Location
    Jakarta
  • Print_ISBN
    978-1-4577-1688-1
  • Type

    conf

  • Filename
    6140769