Adaptive ACO- Driven ICN Routing Mechanism with Network Status Analysis

Lv，Jianhui1; Li，Qing2; Jiang，Yong1; Wang，Xingwei3; Ma，Lianbo4

10.1109/ICCCS52626.2021.9449193

2021-04-23

978-1-6654-2951-1

2021 IEEE 6th International Conference on Computer and Communication Systems, ICCCS 2021

458-462

23-26 April 2021

Chengdu, China

Ant Colony Optimization (ACO)-inspired Information-Centric Networking (ICN) routing strategies have been proved having good effect to improve network performance. However, the current proposals lack the adjustment policy especially for different iterations, which causes the redundant overhead. For this purpose, this letter proposes an adaptive ACO-driven ICN routing mechanism, which adaptively allocates the number of interest ants for each iteration (i.e., the differentiated allocation) by analyzing the network status. Based on the practical network topology and dataset, we evaluate the proposed mechanism comparing with the cutting-edge baseline, and the results show that the mechanism is more efficient.

ACO Adaptive ICN Network analysis

其他

英语

EI

20213410817070

Ant colony optimization

Optimization Techniques:921.5

2-s2.0-85113285112

Scopus

1.International Graduate School at Shenzhen,Tsinghua University,Shenzhen,China
2.Southern University of Science and Technology,Shenzhen,China
3.College of Computer Science and Engineering,Northeastern University,Shenyang,China
4.College of Software,Northeastern University,Shenyang,China

Lv，Jianhui,Li，Qing,Jiang，Yong,et al. Adaptive ACO- Driven ICN Routing Mechanism with Network Status Analysis[C],2021:458-462.