• DocumentCode
    2595322
  • Title

    Survey on network lifetime research for wireless sensor networks

  • Author

    Zhaohua, Long ; Mingjun, Gao

  • Author_Institution
    Dept of Comput., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • fYear
    2009
  • fDate
    18-20 Oct. 2009
  • Firstpage
    899
  • Lastpage
    902
  • Abstract
    Wireless sensor network consists of large number of sensor nodes randomly distributed in some regions. Each node has a limited energy supply and generates information when some events that need to be communicated to a sink node occur. It has been proved that the nodes closer to the sink node will use up their energy more quickly, as a result, the network lifetime will be affected, some bad consequences will happen. Therefore how to optimize the network lifetime become an important problem. According to the research fruit many researchers have contributed, we concluded that the method of optimizing the network life included keeping energy effectivity, improving or creating some optimized algorithms, making use of the inherent mechanism of nodes and so on. The network lifetime can depend on many other factors too. In the paper we give out the survey of the sensor network lifetime and do some analysis.
  • Keywords
    wireless sensor networks; network lifetime research; sensor network lifetime; sink node; wireless sensor network; Algorithm design and analysis; Complexity theory; Computer networks; Data mining; Energy consumption; Energy efficiency; Optimization methods; Wireless application protocol; Wireless communication; Wireless sensor networks; energy limited; opeimizing network lifetime; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4590-5
  • Electronic_ISBN
    978-1-4244-4591-2
  • Type

    conf

  • DOI
    10.1109/ICBNMT.2009.5347814
  • Filename
    5347814