Bio-inspired adaptive routing in self-organized networks: A survey

Xu Zhang, Yanling Zhang, Yang Li, Zhongshan Zhang*, Keping Long

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Since the study of collective behavior of social species can help humans manage complex systems, bio-inspired algorithms will consequently improve the routing performance in self-organized networks. A plethora of studies on adaptive routing in self-organized networks has already been carried out. In this paper, adaptive routing as one of important self-organization issues is surveyed. Several well-known bio-inspired adaptive routing algorithms, such as Ant Colony Optimization (ACO), AntNet, AntHocNet, BeeHive, Multiple Ant Colony Optimization (MACO), Multiple Ant-Bee Colony (MABC), as well as their merits and demerits are analyzed in detail. The remaining challenges to face in adaptive routing in the future are also discussed in this paper.

源语言英语
主期刊名2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Proceedings
505-510
页数6
DOI
出版状态已出版 - 2013
已对外发布
活动2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Guilin, 中国
期限: 14 8月 201316 8月 2013

出版系列

姓名2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Proceedings

会议

会议2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013
国家/地区中国
Guilin
时期14/08/1316/08/13

指纹

探究 'Bio-inspired adaptive routing in self-organized networks: A survey' 的科研主题。它们共同构成独一无二的指纹。

引用此