Research Article
Scheduling Analysis of Broadcasting Real-Time Data Based on Prediction Scheme over Wireless Multi-Channels
@INPROCEEDINGS{10.4108/eai.19-8-2015.2261092, author={Ding-Jung Chiang and Ching-Sheng Wang and Chien-Liang Chen and Wen-Jay Lo}, title={Scheduling Analysis of Broadcasting Real-Time Data Based on Prediction Scheme over Wireless Multi-Channels}, proceedings={11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness}, publisher={IEEE}, proceedings_a={QSHINE}, year={2015}, month={9}, keywords={wireless multi-channel kalman filter broadcast real-time data periodic continuous queries}, doi={10.4108/eai.19-8-2015.2261092} }
- Ding-Jung Chiang
Ching-Sheng Wang
Chien-Liang Chen
Wen-Jay Lo
Year: 2015
Scheduling Analysis of Broadcasting Real-Time Data Based on Prediction Scheme over Wireless Multi-Channels
QSHINE
IEEE
DOI: 10.4108/eai.19-8-2015.2261092
Abstract
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.