• DocumentCode
    115224
  • Title

    Global WSN developments: Fractal or chaos?

  • Author

    Olorunniwo, Oludare ; Kehinde, L.O. ; Olorunniwo, M.A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Obafemi Awolowo Univ., Ile-Ife, Nigeria
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    609
  • Lastpage
    619
  • Abstract
    The ubiquitous developments of wireless sensor networks (WSNs) for data acquisition have migrated significantly over time from traditional data networks to realtime distributed network for sensor data fusion. However, the fractal geometry of sensor distributions and chaotic dynamics of WSNs have questioned the programmability techniques, computational capability, energy-efficiency and fault tolerance, positioning and location management of current frameworks in WSN applications. Thus, this study presents the status quo and visions of the next-generation WSN technologies, the self-similarity in efficient WSNs for topology control, and the observed pattern recognition in acquired data - toward achieving efficient data distribution.
  • Keywords
    chaotic communication; data acquisition; energy conservation; fault tolerance; fractals; pattern recognition; sensor fusion; telecommunication control; telecommunication power management; ubiquitous computing; wireless sensor networks; chaotic dynamics; computational capability; data acquisition; data networks; energy-efficiency; fault tolerance; fractal geometry; global WSN developments; location management; next-generation WSN technologies; pattern recognition; programmability techniques; realtime distributed network; self-similarity; sensor data fusion; sensor distributions; topology control; ubiquitous developments; wireless sensor networks; Communication system security; IEEE 802.11 Standards; IEEE 802.15 Standards; Wireless communication; Wireless sensor networks; Zigbee;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering & Technology (PICMET), 2014 Portland International Conference on
  • Conference_Location
    Kanazawa
  • Type

    conf

  • Filename
    6921080