• DocumentCode
    3588882
  • Title

    Novel Location Tracking Energy Efficient Model for Robust Routing over Wireless Sensor Networks

  • Author

    Almajadub, Fatma ; Elleithy, Khaled

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA
  • fYear
    2014
  • Firstpage
    282
  • Lastpage
    286
  • Abstract
    Detecting the location of a mobile sensor node using signal strength has developed an area of dynamic research. The major issue in this situation curtails from the difficulty of how signals spread through space, particularly in the presence of hurdles such as people, walls and buildings. From another perspective, sensors are available with limited power capacity and energy resources. The signal strength guides the node to choose the right node for forwarding the data to the base station. In this paper, we propose a novel location tracking energy efficient (LTEE) model for wireless sensor networks. The presented model in this paper tracks the neighbor node based on the signal strength used for forwarding the data to the next-hop node. LTEE reduces energy consumption and prolongs the network lifetime. The simulation results demonstrated that LTEE consumed 8% to 12.5% less power as compared to other protocols.
  • Keywords
    energy conservation; mobility management (mobile radio); routing protocols; signal detection; telecommunication power management; wireless sensor networks; LTEE model; base station; data forwarding; energy consumption reduction; energy resource; location tracking energy efficient model; mobile sensor node location detection; power capacity; routing protocol; signal strength; wireless sensor network; Data models; Energy consumption; Energy efficiency; Routing; Routing protocols; Wireless sensor networks; Energy consumption; Location tracking energy efficient; Wireless Sensor networks (WSNs); network routing protocols; signal strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
  • Print_ISBN
    978-1-4799-7599-0
  • Type

    conf

  • DOI
    10.1109/AIMS.2014.56
  • Filename
    7102474