Effective data access is one of the major challenges in Delay Tolerant Networks (DTNs) that are characterized by intermittent\nnetwork connectivity and unpredictable node mobility. Currently, different data caching schemes have been proposed to improve\nthe performance of data access in DTNs. However, most existing data caching schemes perform poorly due to the lack of global\nnetwork state information and the changing network topology in DTNs. In this paper, we propose a novel data caching scheme\nbased on cooperative caching in DTNs, aiming at improving the successful rate of data access and reducing the data access delay. In\nthe proposed scheme, learning automata are utilized to select a set of caching nodes as CachingNode Set (CNS) inDTNs.Unlike the\nexisting caching schemes failing to address the challenging characteristics of DTNs, our scheme is designed to automatically selfadjust\nto the changing network topology through the well-designed voting and updating processes. The proposed scheme improves\nthe overall performance of data access in DTNs compared with the former caching schemes. The simulations verify the feasibility\nof our scheme and the improvements in performance
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