• DocumentCode
    2866094
  • Title

    Biologically Inspired Approaches for Wireless Sensor Networks

  • Author

    Ren, Hongliang ; Meng, Max Q -H

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    762
  • Lastpage
    768
  • Abstract
    Biological systems present a remarkable adaptation, reliability and robustness in the dynamic and even hostile environments. Also, the networks that govern the flow of resources and information are ubiquitous in nature. Most of them are performed by individuals in a distributed and self-organized way. These mechanisms provide useful paradigms for designing the wireless sensor networks, where the individual nodes operate without central control. This paper investigates the existing sensor network design paradigms that inspired from the biological system. The investigation ranges from cell level mechanisms to collective activities performed by social insects, in an effort to apply these inspirations to the sensor networks. This paper involves the problems in the design of wireless sensor networks, including routing, congestion control, medium access control, and clustering problem
  • Keywords
    access protocols; genetic algorithms; particle swarm optimisation; pattern clustering; reaction-diffusion systems; search problems; telecommunication congestion control; telecommunication network routing; wireless sensor networks; biological systems; clustering problem; congestion control; medium access control; routing; sensor network design; social insects; wireless sensor networks; Ant colony optimization; Biological systems; Biosensors; Centralized control; Insects; Negative feedback; Robustness; Routing; Sensor systems; Wireless sensor networks; Biologically Inspired; Network Protocol; Swarm Intelligence; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Luoyang, Henan
  • Print_ISBN
    1-4244-0465-7
  • Electronic_ISBN
    1-4244-0466-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2006.257686
  • Filename
    4026180