• DocumentCode
    1906973
  • Title

    StreamDB Sensor Networks

  • Author

    Furtado, Pedro

  • Author_Institution
    Univ. Coimbra Polo II, Coimbra, Portugal
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    1186
  • Lastpage
    1193
  • Abstract
    StreamDB is a stream-based configuration approach for sensor-device data handling in wireless sensor networks (wsn). The stream model allows users to define how motes will store, process and communicate data with no complex programming. This extends existing stream models by bringing streams into the motes themselves and allowing users to define producer and consumer streams. The proposal, StreamDB, is a stream management system for resource-constrained motes and for whole sensor network systems, with runtime creation and management of streams in both individual motes and workstations outside of the wireless sensor network. The approach offers flexibility, ease of configuration and data transmission energy savings by keeping data locally in a stream database until desired. The stream model proposed and ease of configuration and use will be a major step for sensor networks to reach a wider audience and applications scope.
  • Keywords
    power aware computing; wireless sensor networks; StreamDB sensor networks; consumer streams; data transmission energy savings; producer streams; resource-constrained motes; sensor-device data handling; stream database; stream management system; stream models; stream-based configuration approach; wireless sensor networks; workstations; Databases; Energy consumption; Engines; Random access memory; Routing; Wireless sensor networks; Workstations; Databases; Energy Efficiency; Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.170
  • Filename
    6495186