• DocumentCode
    1187646
  • Title

    Energy-efficient deployment of Intelligent Mobile sensor networks

  • Author

    Heo, Nojeong ; Varshney, Pramod K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
  • Volume
    35
  • Issue
    1
  • fYear
    2005
  • Firstpage
    78
  • Lastpage
    92
  • Abstract
    Many visions of the future include people immersed in an environment surrounded by sensors and intelligent devices, which use smart infrastructures to improve the quality of life and safety in emergency situations. Ubiquitous communication enables these sensors or intelligent devices to communicate with each other and the user or a decision maker by means of ad hoc wireless networking. Organization and optimization of network resources are essential to provide ubiquitous communication for a longer duration in large-scale networks and are helpful to migrate intelligence from higher and remote levels to lower and local levels. In this paper, distributed energy-efficient deployment algorithms for mobile sensors and intelligent devices that form an Ambient Intelligent network are proposed. These algorithms employ a synergistic combination of cluster structuring and a peer-to-peer deployment scheme. An energy-efficient deployment algorithm based on Voronoi diagrams is also proposed here. Performance of our algorithms is evaluated in terms of coverage, uniformity, and time and distance traveled until the algorithm converges. Our algorithms are shown to exhibit excellent performance.
  • Keywords
    ad hoc networks; computational geometry; intelligent networks; mobile computing; mobile radio; optimisation; wireless sensor networks; Voronoi diagrams; adhoc wireless networks; ambient intelligent network; energy-efficient deployment; intelligent mobile sensor networks; large-scale networks; peer-to-peer deployment scheme; synergistic combination; ubiquitous communication; Ambient intelligence; Clustering algorithms; Energy efficiency; Intelligent networks; Intelligent sensors; Large-scale systems; Mobile communication; Peer to peer computing; Safety devices; Wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2004.838486
  • Filename
    1369347