• DocumentCode
    2114377
  • Title

    A Method for Minimum Dominating Set in Wireless Sensor Networks

  • Author

    Zhang, Shuqin ; Wang, Xueqing

  • Author_Institution
    Sch. of Comput. Sci., Zhongyuan Univ. of Technol., Zhengzhou
  • fYear
    2008
  • fDate
    18-18 Dec. 2008
  • Firstpage
    267
  • Lastpage
    270
  • Abstract
    In wireless sensor networks, the number of cluster heads and nodes has direct relation to its cost and its performance, such as robust, fault-tolerance, etc. Further more, it is considered at first as wireless sensor networks are designed. The paper simplifies complex connectivity and coverage problem step by step. By means of theoretical analysis, math modeling and geometry proving and making use of geometric theories and the method of mathematics induction, the method of grid plot of sensor field is proposed from the viewpoints of topology. In the end, the analysis formulae of minimum number of cluster heads and nodes are respectively educed in theory under circumstances of full and seamless connectivity and coverage problem in wireless sensor networks. That is, the problems of full and seamless connectivity and coverage are solved that how many clusters total sensor field is plotted and how many nodes are deployed over the field at the fewest, or MCDS (minimum connected dominating set) and MSDS (minimum sensing dominating set).
  • Keywords
    geometry; telecommunication network topology; wireless sensor networks; complex connectivity; coverage problem; geometric theories; math modeling; mathematic induction method; minimum connected dominating set; minimum sensing dominating set; network topology; theoretical analysis; wireless sensor networks; Biomedical engineering; Clustering algorithms; Computer science; Embedded computing; Head; Monitoring; Seminars; Sensor phenomena and characterization; Wireless communication; Wireless sensor networks; Wireless sensor networks; connectivity; coverage; minimum dominating set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3561-6
  • Type

    conf

  • DOI
    10.1109/FBIE.2008.62
  • Filename
    5076735