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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian-Hao Hu Yeung, K.L. Gang Feng Leung, K.F. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electron. Eng., City Univ. of Hong Kong, China (Jian-Hao Hu) |
| Abstract | A new push-and-pull hybrid data broadcast scheme is proposed for providing wireless information services to three types of clients, general, pull and priority clients. Only pull and priority clients have the back channel for sending requests to the broadcast server. There is no scalability problem with the hybrid scheme because the amount of pull and priority clients is very small. Based on the requests collected from pull and priority clients, the server estimates the interest pattern changes of the whole client population. Then the broadcast schedule on the push channel for the next broadcast cycle is adjusted. Besides the push channel, a small amount of broadcast bandwidth is allocated to a pull channel. The data to be broadcast on the pull channel is decided by the server in real-time and priority is given to requests from priority clients. Simulations show that with a time-varying client interest pattern, the average data access time for all three types of clients can be minimized. Because of the priority in using the pull channel, priority clients can achieve the lowest access time and pull clients can achieve a lower access time than general clients. To further improve the performance, the hybrid scheme with local client cache is also investigated. |
| Starting Page | 1778 |
| Ending Page | 1782 |
| File Size | 588434 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780362837 |
| DOI | 10.1109/ICC.2000.853810 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-06-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Broadcasting Application software Time factors Energy consumption Scalability Bandwidth Wireless networks Weather forecasting Telecommunication traffic Delay |
| Content Type | Text |
| Resource Type | Article |
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