• DocumentCode
    678024
  • Title

    A Energy-Preserving Model for Wireless Sensors Networks Based on Heuristic Self-Organized Routing

  • Author

    La Corte, Aurelio ; Di Stefano, Alessandro ; Scata, Marialisa ; Leotta, Maurizio

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Sci. Eng. DIEEI, Univ. of Catania, Catania, Italy
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    3198
  • Lastpage
    3202
  • Abstract
    One of the main targets related to Wireless Sensor Networks (WSNs) is to reduce power consumption of nodes and of the whole network. An ideal WSN should be networked, scalable, fault-tolerant, energy-aware, and also smart and efficient. Unfortunately, however, this is not always true. The basic idea of the proposal is that senders use a heuristic approach to select the sub-optimal next hop in order to reach just one sink, considering some key requirements such as general performance (QoS and security), efficiency, trust ability, high computational power and energy-aware behaviour. Our model tries to satisfy the need for reaching the nearest sink node, considering a trade-off between the shortest path and heuristic decisions, in a top-level strategy based on a heuristic approach in order to reduce the overall power consumption of nodes of the network.
  • Keywords
    power consumption; quality of service; telecommunication network routing; telecommunication security; wireless sensor networks; QoS; WSN; computational power; energy-aware behaviour; energy-preserving model; heuristic approach; heuristic decisions; heuristic self-organized routing; nearest sink node; power consumption; shortest path; sub-optimal next hop; top-level strategy; trust ability; wireless sensor networks; Batteries; Network topology; Routing; Routing protocols; Sensors; Topology; Wireless sensor networks; Energy-Aware Routing; Heuristics; Self-Organization; WSNs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.545
  • Filename
    6722298