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

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

doi:10.1109/MIS.2014.27

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

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

Research output: Contribution to journal › Article › peer-review

9 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 language	English (US)
Article number	6832886
Pages (from-to)	86-90
Number of pages	5
Journal	IEEE Intelligent Systems
Volume	29
Issue number	2
DOIs	https://doi.org/10.1109/MIS.2014.27
State	Published - 2014
Externally published	Yes

Keywords

bio-inspired networking
intelligent systems
social-driven networking

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

Abstract

Keywords

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