Abstract
Content-Centric Networking (CCN) is a new network architecture approach that each content router in it has caching capability, it can shorten the distance of user requests and improve network content distribution efficiency through the content cache of the routing nodes. In-network caching is one of the key technologies of CCN, which is widely concerned recently. However, most of the current caching strategies mainly concern about the performance of CCN, without considering the problem of transmission cost when the network provides service for users, and the energy efficiency of CCN is largely ignored. In this paper, to overcome this problem, firstly, an energy consumption model for content distribution is built and a judging condition for energy efficiency optimization in caching is designed. And in combination with content popularity the node centrality, a method is presented to calculate the probability that the content is cached by the node. Use the probability to measure the Content cache priority, then consider the Content cache priority and the Energy Efficiency Decision Conditions together, on this basis, an energy-efficiency aware cooperative caching strategy for content-centric networks (EEACC) is proposed. Simulation results demonstrate that the proposed strategy can effectively reduce the overall energy consumption of the network while ensuring a high cache hit rate and a smaller average response hops.
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Acknowledgments
This research is supported in part by the National Natural Science Foundation of China under Grant No. 61562006, in part by the Natural Science Foundation of Guangxi Province under Grant No. 2016GXNSFBA380181 and in part by the Key Laboratory of Guangxi University.
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Han, W., Wang, G., Ying, P. (2017). Energy-Efficiency Aware Cooperative Caching Strategy for Content-Centric Networks. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_36
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DOI: https://doi.org/10.1007/978-3-319-72395-2_36
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