ACO-inspired ICN Routing Scheme with Density-Based Spatial Clustering

被引：0
|
作者：
Lv, Jianhui [1 ]
Wang, Xingwei [2 ]
Huang, Min [3 ]
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
来源：
NETWORK AND PARALLEL COMPUTING (NPC 2017) | 2017年 / 10578卷
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
MECHANISM;
D O I：
10.1007/978-3-319-68210-5_10
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper proposes a new Ant Colony Optimization (ACO)-inspired Information-Centric Networking (ICN) routing scheme with Density-based Spatial Clustering (DSC). At first, the content concentration model is established with network load to address interest routing; in particular, we investigate the failed situation of content retrieval. Then, the dot product method is used to compute similarity relation between two routers, which is considered as clustering reference attribute. In addition, DSC is exploited to detect core nodes which are used to cache contents during the data routing process. Finally, the proposed scheme is simulated over Mini-NDN, and the results show that it has better performance than the benchmark scheme.
引用
收藏
页码：112 / 117
页数：6
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