On the Effect of Group Mobility to Data Replication in Ad Hoc Networks
IEEE Transactions on Mobile Computing
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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Mobile Information Systems
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MobiDE '07 Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access
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Proceedings of the 8th International Conference on Frontiers of Information Technology
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IEEE/ACM Transactions on Networking (TON)
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ISAS'05 Proceedings of the Second international conference on Service Availability
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Guaranteeing continuous streaming of multimedia data from service providers to the users is a challenging task in wireless ad hoc networks, particularly when node mobility is considered. The topological dynamics introduced by node mobility are further exacerbated by the natural grouping behavior of mobile users, which leads to frequent network partitioning. Network partitioning poses significant challenges to the provisioning of continuous multimedia streaming services in wireless ad hoc networks, since the partitioning disconnects many mobile users from the centralized streaming service. In this paper, we propose NonStop, a collection of novel middleware-based run-time algorithms that ensures the continuous availability of such multimedia streaming services, while minimizing the overhead involved. The network-wide continuous streaming coverage is achieved by partition prediction and service replication on the streaming sources and assisted by distributed selection of streaming sources on regular mobile nodes and users. The proposed algorithms are validated by extensive results from performance evaluations.