• DocumentCode
    1448690
  • Title

    Distributed contextual data fusion with ACIPL

  • Author

    McGrath, Michael A. ; Zheng, Yuan F.

  • Author_Institution
    The Ohio State University
  • Volume
    24
  • Issue
    8
  • fYear
    2009
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    A system for controlling smart sensor networks is described. The system is called the Adaptive Context Information Processing Language (ACLPL) which will allow explicit use of states of context inferred from sensor readings and algorithmic output for distributed control of data fusion in sensor networks. The detailed description of the language including its use for sensor information separation into raw sensor data, feature, objects, and events by the language is described. Furthermore, the concept of context which aids the modeling of sensor data with the data fusion hierarchy is introduced, including its types, properties, and applications. ACIPL loosely follows the Joint Directors of Laboratories´ Data Fusion Hierarchy and provides a powerful tool to facilitate the use of smart sensor networks for the purpose of sensor data fusion.
  • Keywords
    Adaptive control; Context modeling; Control systems; Distributed control; Information processing; Intelligent sensors; Programmable control; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/MAES.2009.5256385
  • Filename
    5256385