The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Scheduling on-demand broadcasts: new metrics and algorithms
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Scheduling data broadcast to “impatient” users
Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access
R × W: a scheduling approach for large-scale on-demand data broadcast
IEEE/ACM Transactions on Networking (TON)
Minimizing maximum response time in scheduling broadcasts
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
High performance data broadcasting systems
Mobile Networks and Applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Data Staging for On-Demand Broadcast
Proceedings of the 27th International Conference on Very Large Data Bases
Broadcast Scheduling for Information Distribution
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Competitive Analysis of On-line Algorithms for On-demand Data Broadcast Scheduling
ISPAN '00 Proceedings of the 2000 International Symposium on Parallel Architectures, Algorithms and Networks
Broadcast data allocation for efficient access of multiple data items in mobile environments
Mobile Networks and Applications
Operator scheduling in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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With the uprising popularity of large-scale applications, highly scalable data delivery is becoming a major requirement. One example application is eHealth sensor networks applications. In this paper, we consider a time-critical wireless broadcast dissemination approach to meet user specific deadlines. We propose a novel deadline-aware algorithm, called the Multiple Attributes Integration (MAI) to schedule on-demand requests based on a number of attributes. Our results suggest that MAI can significantly increase the system performance.