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
收藏
页码：86 / 90
页数：5
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