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The increasing density of WiFi Access Points (APs) in metropolitan areas is enabling an opportunistic model of wireless networking, whereby a "Guest" user within range of one or more wireless APs can gain temporary Internet access through these APs. This paper addresses the problem of TCP throughput prediction for opportunistic networks. Applications of opportunistic networking can benefit from such predictions by adapting to prevailing network conditions. The approach is different from prior efforts to model wireless network throughput in that only the two communicating endpoints participate in the prediction, and no information about network topology or traffic loads generated by interfering sources is required. The goal is to understand how accurate throughput predictions can be under the above assumptions.
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