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

被引：7

作者：

Duan, Dongliang ^{[1
]}

Yang, Liuqing ^{[2
]}

Cao, Yang ^{[3
]}

Wei, Jiaolong ^{[3
]}

Cheng, Xiang ^{[4
]}

机构：

[1] Univ Wyoming, Dept Elect & Comp Engn, Laramie, WY 82071 USA

[2] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA

[3] Huazhong Univ Sci & Technol, Elect & Informat Engn Dept, Wuhan, Peoples R China

[4] Peking Univ, Sch Elect Engn & Comp Sci, Beijing, Peoples R China

来源：

IEEE INTELLIGENT SYSTEMS | 2014年 / 29卷 / 02期

关键词：

Organizations; Wireless communication; Educational institutions; Wireless sensor networks; Biological systems; Quality of service; Social network services; intelligent systems; bio-inspired networking; social-driven networking;

D O I：

10.1109/MIS.2014.27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. © 2001-2011 IEEE.

引用

页码：86 / 90

页数：5

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