Title :
Self-Organizing Networks: From Bio-Inspired to Social-Driven
Author :
Dongliang Duan ; Liuqing Yang ; Yang Cao ; Jiaolong Wei ; Xiang Cheng
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;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2014.27
