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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 …