Scheduling Analysis of Broadcasting Real-Time Data Based on Prediction Scheme over Wireless Multi-Channels

被引:0
|
作者
Chiang, Ding-Jung [1 ]
Wang, Ching-Sheng [2 ]
Chen, Chien-Liang [2 ]
Lo, Wen-Jay [3 ]
机构
[1] Taipei Chengshih Univ Sci & Technol, Dept Digital Multimedia Design, Taipei, Taiwan
[2] Aletheia Univ, Dept Comp Sci & Informat Engn, New Taipei, Taiwan
[3] CPC Corp, Explorat & Dev Res Inst, Miaoli, Taiwan
来源
PROCEEDINGS OF THE 11TH EAI INTERNATIONAL CONFERENCE ON HETEROGENEOUS NETWORKING FOR QUALITY, RELIABILITY, SECURITY AND ROBUSTNESS | 2015年
关键词
Wireless Multi-Channel; Kalman Filter; Broadcast Real-Time Data; Periodic Continuous Queries; CONTINUOUS QUERIES; PERFORMANCE; NETWORKS; BOUNDS;
D O I
10.4108/eai.19-8-2015.2261092
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the rapid progress of wireless technology, mobile users can retrieve multiple real-time data with portable devices from mobile service centers. Providing deadline guarantees for queries over mobile environments is a challenging problem due to real-time data arrival rates and time-varying data contents. In this paper, we propose a prediction-based scheme for periodic continuous queries over wireless multi-channels. It is an important issue to effectively disseminate various materials in mobile environments. This paper highlights important problems that have mobile real-time systems from improving the system performance it could be for periodic continuous queries. While current systems aim to foster significant improvements in access latency, this paper argues that most systems are still limited to just being online material without performance concerns. Mobile real-time infrastructure has become a topic for research. A performance-driven model to mobile real-time delivery is proposed in this paper. A novel methodology for deploying periodic continuous queries based on prediction mechanism in mobile environments is presented. We focus on describing the dynamic processing in terms of performance, rather than the details of its implementation.
引用
收藏
页码:38 / 43
页数:6
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