11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

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

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  • @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
Ding-Jung Chiang1,*, Ching-Sheng Wang2, Chien-Liang Chen2, Wen-Jay Lo3
  • 1: Department of Digital Multimedia Design, Taipei Chengshih University of Science and Technology, Taipei, Taiwan, R.O.C
  • 2: Department of Computer Science and Information Engineering, Aletheia University, New Taipei, Taiwan, R.O.C
  • 3: Exploration and Development Research Institute, CPC Corporation, Miaoli, Taiwan, R.O.C
*Contact email: djchiang@tpcu.edu.tw

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.