• DocumentCode
    52257
  • Title

    Self-Organizing Networks: From Bio-Inspired to Social-Driven

  • Author

    Dongliang Duan ; Liuqing Yang ; Yang Cao ; Jiaolong Wei ; Xiang Cheng

  • Volume
    29
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar.-Apr. 2014
  • Firstpage
    86
  • Lastpage
    90
  • Abstract
    In today´s complicated world of wireless networking, rapid changes and steep challenges could lead to too many users flocking to one or only a few networks, thereby leaving some potentially useful service providers out of the picture. To avoid such negative effects, it might be worthwhile to transition from the idea of bio-inspired to social-driven networking. Here, the authors outline a few rules to help with the transition.
  • Keywords
    computer networks; human factors; social networking (online); bio-inspired networks; self-organizing networks; social-driven networks; wireless networking; Biological systems; Educational institutions; Organizations; Quality of service; Social network services; Wireless communication; Wireless sensor networks; bio-inspired networking; intelligent systems; social-driven networking;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2014.27
  • Filename
    6832886
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=52257