• DocumentCode
    34693
  • Title

    Guest Editorial Special Issue on Big Data Analytics and Management in Internet of Things

  • Author

    Ning, Huansheng ; Belanger, David G. ; Xia, Yinglong ; Piuri, Vincenzo ; Zomaya, Albert Y.

  • Author_Institution
    School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, NJ, China
  • Volume
    2
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    265
  • Lastpage
    267
  • Abstract
    The papers in this special issue provide a highly exciting opportunity to explore the interdisciplinary nature of the management of Internet of Things (IoT) and big data analytics. Both IoT and big data keep making headlines everywhere, drawing a large amount of research interest, a fast expanding universe of applications, and highlighting unprecedented challenges. On one hand, the IoT has been generating widespread research interest across a variety of technical areas, including the sensor network management, data communication, temporal and spatial data analysis, and visualization. On the other hand, big data are providing innovative solutions addressing the challenges posed by data volume, velocity, variety, and veracity, known as the 4Vs. Instead of being overwhelmed by these issues, researchers and scholars are making significant progress in generating value out of big data. One such effort is to exploit the synergies between IoT and big data, so that both have increased impact. This issue is designed to present innovative ideas and emerging solutions in this new interdisciplinary area.
  • Keywords
    Big data; Data management; Information analysis; Internet of things; Special issues and sections;
  • fLanguage
    English
  • Journal_Title
    Internet of Things Journal, IEEE
  • Publisher
    ieee
  • ISSN
    2327-4662
  • Type

    jour

  • DOI
    10.1109/JIOT.2015.2459291
  • Filename
    7180480