Self-organizing networks: From bio-inspired to social-driven

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

Research output: Contribution to journalArticle

8 Scopus citations

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.

Original languageEnglish (US)
Article number6832886
Pages (from-to)86-90
Number of pages5
JournalIEEE Intelligent Systems
Volume29
Issue number2
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • bio-inspired networking
  • intelligent systems
  • social-driven networking

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