Energy-efficiency Aware Probabilistic Caching Scheme for Content-centric Networks

LUO Xi; AN Ying; WANG Jianxin; LIU Yao

doi:10.11999/JEIT151244

Volume 38 Issue 8

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(8): 1843-1849

LUO Xi, AN Ying, WANG Jianxin, LIU Yao. Energy-efficiency Aware Probabilistic Caching Scheme for Content-centric Networks[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1843-1849. doi: 10.11999/JEIT151244

Citation:

LUO Xi, AN Ying, WANG Jianxin, LIU Yao. Energy-efficiency Aware Probabilistic Caching Scheme for Content-centric Networks[J]. Journal of Electronics & Information Technology, 2016, 38(8): 1843-1849. doi: 10.11999/JEIT151244

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Energy-efficiency Aware Probabilistic Caching Scheme for Content-centric Networks

doi: 10.11999/JEIT151244

1.
2.
(School of Information Science and Engineering, Central South University, Changsha 410083, China)

Funds:

The National Natural Science Foundation of China (61402541, 61103204), The Scientific Research Fund of Hunan Provincial Education Department (15B127)

Received Date: 2015-11-05
Rev Recd Date: 2016-04-13
Publish Date: 2016-08-19

Abstract

Abstract

In-network caching is one of the key technologies of Content-Centric Networking (CCN), which is widely concerned recently. However, most existing works are targeted for optimizing network resource utilization, and the energy consumption aspect is largely ignored. In this paper, first an energy consumption model for content distribution is built and a judging condition for energy efficiency optimization in caching is designed. On this basis and in combination with content popularity and node centrality, an Energy-Efficiency Aware Probabilistic Caching (E2APC) scheme is proposed. Simulation results show that the proposed scheme can effectively reduce the whole energy consumption, while guaranteeing comparatively high cache hit rate and few average response hops.
- Content-Centric Networking (CCN),
- Energy efficiency,
- In-network caching,
- Probabilistic caching

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References(20)

References

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