Learning automata: an introduction
Learning automata: an introduction
Learning automata: theory and applications
Learning automata: theory and applications
IEEE/ACM Transactions on Networking (TON)
Scheduling data broadcast in asymmetric communication environments
Wireless Networks
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Adaptive Data Broadcast in Hybrid Networks
VLDB '97 Proceedings of the 23rd 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
Wireless Networks
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
Efficient broadcast disks program construction in asymmetric communication environments
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
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In many data broadcasting applications clients are grouped into several groups, each one located at a different region, with the members of each group having similar demands. This paper proposes a mechanism that exploits locality of demand in order to increase the performance of wireless data dissemination systems. It trades the received energy per bit redundancy at distances smaller than the radius of the service area for an increased bit rate and thus increased transmission speed for items demanded by clients at such distances. The paper focuses on performance optimization of clients located around the geographical area of interest. It does so by protecting degradation caused by clients that are located elsewhere and demand the same information items with clients inside that area. Simulation results are presented that reveal significant performance improvement for clients located around the area of interest.