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  • 标题:Toward Offering More Useful Data Reliably to Mobile Cloud From Wireless Sensor Network
  • 作者:Chunsheng Zhu ; Zhengguo Sheng ; Leung, Victor C. M.
  • 期刊名称:IEEE Transactions on Emerging Topics in Computing
  • 印刷版ISSN:2168-6750
  • 出版年度:2015
  • 卷号:3
  • 期号:1
  • 页码:84-94
  • DOI:10.1109/TETC.2014.2364921
  • 语种:English
  • 出版社:IEEE Publishing
  • 摘要:

    The integration of ubiquitous wireless sensor network (WSN) and powerful mobile cloud computing (MCC) is a research topic that is attracting growing interest in both academia and industry. In this new paradigm, WSN provides data to the cloud and mobile users request data from the cloud. To support applications involving WSN-MCC integration, which need to reliably offer data that are more useful to the mobile users from WSN to cloud, this paper first identifies the critical issues that affect the usefulness of sensory data and the reliability of WSN, then proposes a novel WSN-MCC integration scheme named TPSS, which consists of two main parts: 1) time and priority-based selective data transmission (TPSDT) for WSN gateway to selectively transmit sensory data that are more useful to the cloud, considering the time and priority features of the data requested by the mobile user and 2) priority-based sleep scheduling (PSS) algorithm for WSN to save energy consumption so that it can gather and transmit data in a more reliable way. Analytical and experimental results demonstrate the effectiveness of TPSS in improving usefulness of sensory data and reliability of WSN for WSN-MCC integration.

  • 关键词:cloud computing; data communication; energy consumption; internetworking; mobile computing; telecommunication network reliability; telecommunication scheduling; wireless sensor networks; WSN gateway; WSN reliability; WSN-MCC integration; energy consumption; mobile cloud; mobile cloud computing; priority-based sleep scheduling algorithm; time and priority-based selective data transmission; wireless sensor network; Clouds; Data communication; Logic gates; Mobile communication; Monitoring; Reliability; Wireless sensor networks; Wireless sensor networks; integration; mobile cloud computing; reliability; usefulness
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