• DocumentCode
    3576173
  • Title

    Energy-balance routing and throughput maximization for wireless sensor networks

  • Author

    Purushothaman, N. ; Saminadan, V.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Pondicherry Eng. Coll., Pondicherry, India
  • fYear
    2014
  • Firstpage
    208
  • Lastpage
    211
  • Abstract
    Several studies have demonstrated the benefits of using a mobile sink to reduce the energy consumption of nodes and to prevent the formation of energy holes in wireless sensor networks (WSNs). However, these benefits are dependent on the path taken by the mobile sink, particularly in delay-sensitive applications, as all sensed data must be collected within a given time constraint. WSN consists of low-cost nodes with limited battery power, and the battery replacement is not easy for WSN with thousands of physically embedded nodes, which means energy efficient routing protocol should be employed to offer a long-life work time. To achieve the aim, we need not only to minimize total energy consumption but also to balance WSN load. In this paper, we propose a General Self-Organized Tree-Based Energy-Balance routing protocol (GSTEB) which builds a routing tree using a process where, for each round, BS assigns a root node and broadcasts this selection to all sensor nodes. Subsequently, each node selects its parent by considering only itself and its neighbors´ information, thus making GSTEB a dynamic protocol. Simulation results show that GSTEB has a better performance than other protocols in balancing energy consumption, thus prolonging the lifetime of WSN.
  • Keywords
    energy conservation; energy consumption; routing protocols; self-adjusting systems; trees (mathematics); wireless sensor networks; BS; GSTEB; WSN load; balancing energy consumption reduction; battery power limit; battery replacement; data sensing; delay-sensitive applications; energy efficiency; energy hole formation prevention; general self-organized tree-based energy-balance routing protocol; long-life work time; low-cost nodes; mobile sink; neighbor information; physically embedded nodes; root node; sensor nodes; throughput maximization; time constraint; wireless sensor networks; Algorithm design and analysis; Energy consumption; Optimization; Protocols; Resource management; Throughput; Wireless sensor networks; General Self-Organized Tree-Based Energy-Balance routing protocol; energy consumption; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communication, Control and Computing (I4C), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6545-8
  • Type

    conf

  • DOI
    10.1109/CIMCA.2014.7057792
  • Filename
    7057792