• DocumentCode
    2493972
  • Title

    ATTC: Adaptive Transmission Time Control strategy for large scale Restricted Floating Sensor networks

  • Author

    Xiaodong, Liu ; Yuan, Feng

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Ocean Univ. of China, Qingdao
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    623
  • Lastpage
    628
  • Abstract
    Restricted floating sensor (RFS) is an important model in offshore surveillance and monitoring. However RFS suffers long transmission interval and high-energy consumption. In this paper, we propose an adaptive transmission time control (ATTC) strategy for large scaled restricted floating sensor networks. This mechanism release collisions adaptively according to changeful network topology and the condition of wireless channels periodically. Furthermore this strategy can amend the transmission interval depend on user and this is important in saving energy when the weather is fine. The experiment shows our work is succeeding in controlling the propagation delay in deferent weathers. Moreover it can prolong the lifetime efficiently and save about 50% energy when bit error rate is higher.
  • Keywords
    adaptive control; oceanographic equipment; surveillance; telecommunication network topology; wireless sensor networks; adaptive transmission time control strategy; large scale restricted floating sensor networks; network topology; offshore surveillance and monitoring; propagation delay; wireless channels; Adaptive control; Bit error rate; Educational institutions; Information science; Large-scale systems; Marine technology; Oceans; Programmable control; Wind; Wireless sensor networks; Bit error rate; Data transmission; Restricted floating sensor networks; Transmission interval; Wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-3822-8
  • Electronic_ISBN
    978-1-4244-2957-8
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2008.4762059
  • Filename
    4762059