• DocumentCode
    160754
  • Title

    Prediction of Sensor Lifetime in Wireless Sensor Networks Using Fuzzy Logic

  • Author

    Qi Wang ; Kulla, Elis ; Mino, Gjergji ; Barolli, Leonard

  • Author_Institution
    Grad. Sch. of Eng., Fukuoka Inst. of Technol., Fukuoka, Japan
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    1127
  • Lastpage
    1131
  • Abstract
    Cluster formation and cluster head selection are important problems in Wireless Sensor Networks (WSNs) and can drastically affect the network´s communication energy dissipation. Moreover, in WSNs, the bad usage of the energy shortens the operation time of sensors and consequently the network lifetime. In this work, we propose a fuzzy-based simulation system for WSNs, in order to calculate the lifetime of a sensor by considering the remaining battery power, sleep time rate and transmission time rate. We evaluate the system by MATLAB simulations and show that it has a good behaviour for measuring sensor lifetime.
  • Keywords
    fuzzy logic; wireless sensor networks; MATLAB; WSN; battery power; cluster formation; cluster head selection; energy dissipation; fuzzy logic; fuzzy-based simulation; network communication; sensor lifetime prediction; sleep time rate; transmission time rate; wireless sensor networks; Batteries; Clustering algorithms; Fuzzy logic; Iron; Manganese; Mercury (metals); Wireless sensor networks; WSN; Fuzzy Logic; Lifetime of Sensor; Remaining Power; Sleep Time Rate; Transmission Time Rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4799-3629-8
  • Type

    conf

  • DOI
    10.1109/AINA.2014.137
  • Filename
    6838790