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Peer-to-peer data dissemination in a mobile ad-hoc environment is characterized by three resource constraints, including energy, communication bandwidth, and storage. Most of the existing studies deal with these constraints separately. In this paper we propose an algorithm called RANk-based dissemination (RANDI), which provides an integral treatment to the three constraints. The contribution is in determining how to prioritize the reports in terms of their relevance, when to transmit the reports, and how many to transmit. We experimentally compare RANDI with IDS and PeopleNet, two mobile peer-to-peer dissemination algorithms. The results show that RANDI significantly outperforms both algorithms.