• DocumentCode
    3608002
  • Title

    Exploring value-of-information-based approaches to support effective communications in tactical networks

  • Author

    Suri, Niranjan ; Benincasa, Giacomo ; Lenzi, Rita ; Tortonesi, Mauro ; Stefanelli, Cesare ; Sadler, Laurel

  • Author_Institution
    Florida Inst. for Human & Machine Cognition, Ocala, FL, USA
  • Volume
    53
  • Issue
    10
  • fYear
    2015
  • fDate
    10/1/2015 12:00:00 AM
  • Firstpage
    39
  • Lastpage
    45
  • Abstract
    Tactical networking environments present many challenges in terms of bandwidth, latency, reliability, stability, and connectivity. Sensors can today generate very large data sets that exceed the ability of tactical networks to transfer and disseminate them in a timely manner. Furthermore, the desire to cover larger areas with persistent sensing capabilities, have resulted in the widescale deployment of inexpensive sensors, further widening the gap between the volume of information that is generated and the subset that can successfully be delivered to consumers. This article explores the notion of determining the value of information in order to prioritize and filter information that is disseminated over these tactical networks, focusing on the dissemination of information to and from dismounted soldiers in a battlefield environment. This is a promising approach to mitigate the constraints of tactical networks and to reduce information overload on soldiers.
  • Keywords
    filters; military communication; military computing; mobile ad hoc networks; sensor placement; telecommunication network reliability; wireless sensor networks; battlefield environment; dismounted soldiers; information overload; tactical networking environments; value-of-information-based approaches; Bandwidth allocation; Context modeling; Metadata; Middleware; Military communication; Peer-to-peer computing; Tracking; US Department of Defense;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7295461
  • Filename
    7295461