• DocumentCode
    1797783
  • Title

    An energy efficient cluster-based routing protocol for intelligent environmental monitoring system

  • Author

    Dapeng Cheng ; Yingjie Song ; Yanyan Mao ; Xiangrong Wang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    505
  • Lastpage
    509
  • Abstract
    Routing is a basic service for intelligent environmental monitoring system. However, traditional routing protocols cause unnecessary energy consumption due to the high communication overhead. In this paper, we proposed RERP, an energy efficient cluster-based routing protocol for intelligent environmental monitoring system. RERP improves LEACH protocol by limiting the selection range of cluster head. RERP also achieves reasonable cluster head election by considering residual energy, relative density and centroid distance. Simulation results show that RERP can save 54th percentile energy more than LEACH after 2000 clustering rounds. When the network size is 500, RERP can still guarantee 99.6% nodes alive after 2000 clustering rounds.
  • Keywords
    energy conservation; environmental monitoring (geophysics); environmental science computing; pattern clustering; routing protocols; LEACH protocol; RERP; centroid distance; cluster head election; energy efficient cluster-based routing protocol; intelligent environmental monitoring system; relative density; residual energy; Artificial intelligence; Clustering algorithms; Environmental monitoring; Nominations and elections; Routing protocols; Wireless sensor networks; Clusted Routing Protocol; Intelligent Environmental Monitoring System; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009339
  • Filename
    7009339