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Modelling data dissemination in opportunistic networks
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BitHoc: A content sharing application for wireless ad hoc networks
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Computer Networks: The International Journal of Computer and Telecommunications Networking
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INFOCOM'10 Proceedings of the 29th conference on Information communications
A mobile peer-to-peer system for opportunistic content-centric networking
Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds
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Proceedings of the 5th ACM workshop on Challenged networks
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Proceedings of the 5th ACM workshop on Challenged networks
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Proceedings of the third ACM international workshop on Mobile Opportunistic Networks
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Proceedings of the 8th ACM MobiCom workshop on Challenged networks
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Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In this paper, we present MobiTrade, a utility driven trading system for efficient content dissemination on top of a disruption tolerant network. While simple tit-for-tat (TFT) mechanisms can force nodes to "give one to get one", dealing with the inherent tendency of peers to take much but give back little, they can quickly lead to deadlocks when some (or most) of interesting content must be somehow fetched across the network. To resolve this, MobiTrade proposes a trading mechanism that allows a node ("merchant") to buy, store, and carry content for other nodes (its "clients") so that it can later trade it for content it is personally interested in. To exploit this extra degree of freedom, MobiTrade nodes continuously profile the type of content requested and the collaboration level of encountered devices. An appropriate utility function is then used to collect an optimal inventory that maximizes the expected value of stored content for future encounters, matched to the observed mobility patterns, interest patterns, and collaboration levels of encountered nodes. Using NS3 simulations based on synthetic and real mobility traces, we show that MobiTrade achieves up to 2× higher query success rates compared to other content dissemination schemes. Furthermore, we show that MobiTrade successfully isolates selfish devices.