• DocumentCode
    131064
  • Title

    A routing layer number generation and dynamic routing algorithm on random wireless sensor network

  • Author

    Tan Guolin ; Qiu Kaijin ; Yu Qunchao

  • Author_Institution
    Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    1052
  • Lastpage
    1055
  • Abstract
    In real life, random wireless sensor network is very common, such as network of monitoring nodes in rural anti-theft system and as well as in agriculture-forestry environmental monitoring, and so on. Large-scale network, intensive nodes and disorganized distribution are the features of this network. If we transmit data by point-to-point method on such a network, then there exist disadvantages of large transmitting power at the monitoring nodes and high energy consumption of the nodes, so networking between nodes is inevitable development. Based on the characteristics of random wireless sensor network proposed routing layer number generation algorithm and dynamic routing algorithm for random wireless sensor network, to achieve transmit reliable data stably between routing nodes.
  • Keywords
    telecommunication network reliability; telecommunication network routing; wireless sensor networks; agriculture-forestry environmental monitoring; data transmission reliability; data transmission stability; disorganized distribution; dynamic routing algorithm; energy consumption; intensive node; large-scale network; monitoring node; point-to-point method; random wireless sensor network; routing layer number generation algorithm; rural anti-theft system; transmitting power; Educational institutions; Hardware; Heuristic algorithms; Monitoring; Routing; Wireless communication; Wireless sensor networks; dynamic routing algorithm; random wireless sensor network; routing layer number generation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933746
  • Filename
    6933746