• DocumentCode
    3309116
  • Title

    Energy-Efficient Chain Topology in Ubiquitous Sensor Network

  • Author

    Jisoo Shin ; Changjin Suh

  • Author_Institution
    Sch. of Comput., Soongsil Univ., Seoul
  • Volume
    3
  • fYear
    2008
  • fDate
    17-20 Feb. 2008
  • Firstpage
    1688
  • Lastpage
    1693
  • Abstract
    Many routing topologies have been proposed to extend lifetime of ubiquitous sensor network (USN) consisting of sensor nodes with limited energy. If measurement data is collected periodically for every nodes and perfect fusion during data aggregation, minimum spanning tree (MST) and chains have been two major topologies. MST minimizes total transmission energy and chain consumes energy very evenly throughout the nodes. Various publications such as LEACH, PEGASIS and PEDAP announced many good USN topologies, there still is little study about the topology itself especially in terms of energy consumption excluding USN system-related factors. This paper includes the following study. We proposed a new chain topology and solved minimum spanning chain (MSC) by linear programming (LP). Then we calculated and analysed topology length and standard deviation/coefficient of variation of link lengths through simulation. As results of simulation analysis we confirmed that the proposed chain solution is very useful routing topology in USNs.
  • Keywords
    linear programming; sensor fusion; telecommunication network routing; telecommunication network topology; wireless sensor networks; MST; USN lifetime; coefficient of variation; data aggregation; data fusion; energy-efficient chain topology; linear programming; link length; minimum spanning tree; routing topologies; standard deviation; ubiquitous sensor network; Acoustic sensors; Energy consumption; Energy efficiency; NP-complete problem; Network topology; Pollution measurement; Routing; Sensor fusion; Temperature sensors; Traveling salesman problems; Chain topology; Kruskal algorithm; Linear Programming; Link Exchange; Minimum Spanning Chain; PEDAP; PEGASIS; Prim algorithm; Travelling Salesman´s Problem; USN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
  • Conference_Location
    Gangwon-Do
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-136-3
  • Type

    conf

  • DOI
    10.1109/ICACT.2008.4494107
  • Filename
    4494107