Research of Self-organization Wireless Sensor Network

  • Yulan He
  • Jie Yuan
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 122)


To solve the problem of the limitation of computing, power consumption and network resources that faced by self-organization wireless sensor network, this paper forwards a method of dynamic adjustment of nodes to reach a flexible transformation of the router and endpoint nodes. This algorithm bases on a set of system platform that combined of hardware and software and takes the advantages of self-organization network itself. Experimental results show that the algorithm reduces network node redundancy and node isolation, which reduce the energy loss of network.


Wireless sensor networks Self-organization network Dynamic nodes adjust 


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  1. 1.
    Lu, B.G., Yuan, J.: The Three-dimensional Positioning Algorithm for Wireless Sensor Network. Computer Engineering 37(14), 97–99 (2010)Google Scholar
  2. 2.
    Gao, J., Fang, B., Yin, J.Y.: The Node Design and Network Implementation of ZigBee Wireless Communication Network. Computer Measure & Control 16(12), 1912–1914 (2008)Google Scholar
  3. 3.
    Marsh, D., Tynan, R.: Autonomic Wireless Sensor Networks. Engineering Applications of Artificial Intelligence 17, 741–748 (2004)CrossRefGoogle Scholar
  4. 4.
    Jing, B., Zhang, J., Zhang, Z.L.: Research on Applications and Core Technology of Distributed Wireless Sensor Networks. Journal of Test and Measurement Technology 19(2), 181–185 (2005)Google Scholar
  5. 5.
    Akyildiz, I.F., Su, W., San, Y., Cayirci, E.: Wireless Sensor Networks: a survey. Computer Networks 38, 393–422 (2002)CrossRefGoogle Scholar
  6. 6.
    Liu, D., Qian, Z.H., Liu, Y.: Characteristics of Node-Based Routing of ZigBee Network Energy Optimization. Northeast Normal University 20(10), 118–121 (2009)Google Scholar
  7. 7.
    Yuan, P.Y., Liu, P., Tang, Y.M.: Wireless Network Strategies in a Controlled Flooding. Development of Computer and Technologies 16(12), 1912–1914 (2010)Google Scholar
  8. 8.
    Pen, M.G.: Next-generation Broadband Mobile Communication System Network. Self-organization Technology Telecommunications Technology 5, 71–73 (2010)Google Scholar
  9. 9.
    Travis, C.C., Taylor, C.: Self-organization in Sensor Networks. J. Parallel Distrib. Comput. 64, 866–873 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yulan He
    • 1
  • Jie Yuan
    • 1
  1. 1.School of ESENanjing UniversityChina

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