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摘要
Different from the traditional IP network, named data networking (NDN) performs the stateful and adaptive forwarding, which faces some severe challenges such as efficient and self-organized content retrieval. The current proposals are very difficult to address such challenges; therefore, this paper proposes a novel and smart NDN forwarding scheme by introducing both ant colony optimization and clustering analysis. At first, the discrete content concentration model is established with network load to address interest forwarding; in particular, we investigate the situation where the content retrieval is failed. Then, dot product method is used to compute similarity relation between 2 routers, which is considered as the clustering reference attribute. In addition, density-based spatial clustering, ie, a clustering method, is exploited to detect core nodes that are used to cache the contents during the process of data forwarding. Finally, the proposed smart forwarding scheme is simulated over Mini-NDN, and the simulation results show that it has better performance than the existent 3 schemes in terms of content retrieval rate, hop count, load balance degree, execution time, and throughput.
- 出版日期2018-3
- 单位东北大学
