ACO-inspired Information-Centric Networking routing mechanism

被引:44
|
作者
Lv, Jianhui [1 ]
Wang, Xingwei [2 ]
Ren, Kexin [1 ]
Huang, Min [3 ]
Li, Keqin [4 ]
机构
[1] Northeastern Univ, Coll Comp Sci & Engn, Shenyang 110169, Liaoning, Peoples R China
[2] Northeastern Univ, Coll Software, Shenyang 110169, Liaoning, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[4] SUNY, Dept Comp Sci, New York, NY 12561 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Information-centric networking; Bio-inspired networking; Routing; Ant colony optimization; Content concentration; ANT COLONY OPTIMIZATION; ALGORITHM; SCHEME;
D O I
10.1016/j.comnet.2017.07.004
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, the bio-inspired solution, has been employed to address routing optimization issue intelligently without manual intervention. In this paper, we propose a novel Ant Colony Optimization (ACO)inspired Information-Centric Networking (ICN) Routing mechanism (ACOIR) by mapping ACO into ICN. At first, we devise a content management strategy based on the storage of name prefix to help conveniently and effectively manage and provide contents. Secondly, we propose a continuous model for content concentration by considering dynamic environment to conduct interest forwarding. Thirdly, we give a computation scheme about forwarding probability with physical distance and content concentration considered to determine the forwardable outgoing interface. Finally, we propose a comprehensive routing mechanism based on probabilistic forwarding to retrieve the most suitable content copy. We evaluate the proposed ACOIR, and the experimental results demonstrate that ACOIR can obtain the optimal solution and has better performance than other methods. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:200 / 217
页数:18
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