Bio-inspired Adaptive Routing in Self-Organized Networks: A Survey

Xu Zhang; Yanling Zhang; Yang Li; Zhongshan Zhang; Keping Long

8th International Conference on Communications and Networking in China

Research Article

Bio-inspired Adaptive Routing in Self-Organized Networks: A Survey

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/ChinaCom.2013.6694648,
    author={Xu Zhang and Yanling Zhang and Yang Li and Zhongshan Zhang and Keping Long},
    title={Bio-inspired Adaptive Routing in Self-Organized Networks: A Survey},
    proceedings={8th International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2013},
    month={11},
    keywords={self-organized networks adaptive routing ant colony optimization (aco) multiple ant colony optimization (maco) multiple ant-bee colony (mabc)},
    doi={10.1109/ChinaCom.2013.6694648}
}

Xu Zhang
Yanling Zhang
Yang Li
Zhongshan Zhang
Keping Long
Year: 2013
Bio-inspired Adaptive Routing in Self-Organized Networks: A Survey
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694648

Xu Zhang¹, Yanling Zhang¹, Yang Li¹, Zhongshan Zhang¹^,*, Keping Long¹

1: University of Science and Technology Beijing

*Contact email: zhangzs@ustb.edu.cn

Abstract

In this paper, adaptive routing as one of important self-organization issues is surveyed. Several well-known bio-inspired adaptive routing algorithms are analyzed in detail. The remaining challenges to face in adaptive routing in the future are also discussed in this paper.

Keywords: self-organized networks adaptive routing ant colony optimization (aco) multiple ant colony optimization (maco) multiple ant-bee colony (mabc)

Published: 2013-11-14
Publisher: IEEE

: http://dx.doi.org/10.1109/ChinaCom.2013.6694648