Adaptive dissemination of dynamic information services in an extended data broadcast environment
Proceedings of the 2003 ACM symposium on Applied computing
Exponential index: a parameterized distributed indexing scheme for data on air
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Dependent Data Broadcasting for Unordered Queries in a Multiple Channel Mobile Environment
IEEE Transactions on Knowledge and Data Engineering
Time-Critical On-Demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation
IEEE Transactions on Parallel and Distributed Systems
An Error-Resilient and Tunable Distributed Indexing Scheme for Wireless Data Broadcast
IEEE Transactions on Knowledge and Data Engineering
SOM: Dynamic Push-Pull Channel Allocation Framework for Mobile Data Broadcasting
IEEE Transactions on Mobile Computing
Design and Performance Evaluation of Broadcast Algorithms for Time-Constrained Data Retrieval
IEEE Transactions on Knowledge and Data Engineering
Scheduling non-uniform data with expected-time constraint in wireless multi-channel environments
Journal of Parallel and Distributed Computing
Benefit-oriented data retrieval in data broadcast environments
Wireless Networks
Performance evaluation of air indexing schemes for multi-attribute data broadcast
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
On efficient 3D data dissemination
Wireless Networks
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Data dissemination has significantly served as a scalable data delivery mechanism in wireless networks. However, even though the broadcast traffic has the nature of dynamic changes, most previous research efforts were elaborated upon the premise of static workloads and access patterns without having proper traffic awareness. In this paper, we address the existence of client impatience and accordingly devise an on-line traffic awareness mechanismbased on a novel selective deferment and reflection technique (SDR) to estimate the dynamic workloads and access patterns in a granularity of a broadcast cycle. In comparison with prior probing and feedback approaches, our design is of practical usefulness in that it has low complexity and is light-weight without performance degradation. With various dynamic traffic scenarios, the experimental results show that with an increasing/decreasing workload, the real access frequency distribution is bounded by two specific estimated distributions. This fact in turn suggests us to employ a trigonometric tuning method to further enhance the estimation. Inaddition, we examine that the mean difference between the estimated access frequency distribution and the real one is very small, consequently indicating the feasibility and reliabilityof our proposed data broadcast mechanism with traffic awareness.