• DocumentCode
    1608107
  • Title

    Ecosense: A Context and Semantics Driven Framework for Eco-Aware Ambient Environments

  • Author

    Iqbal, Mudasser ; Lim, Hock Beng ; Ng, Teng Jie

  • Author_Institution
    Intell. Syst. Center, Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Global climate change can be mitigated with innovative solutions in the ambient intelligence domain that utilize distributed and heterogeneous sensor networks for high resolution sensing of resource utilization (e.g. energy, water, etc.) via intelligent coordination among sensor nodes. We propose the EcoSense framework as a holistic solution that enables dynamic control and reconfiguration of the sensor nodes in an ambient environment based on our resource consumption patterns. EcoSense introduces service and context layers to existing sensor network stacks to enable interoperability between heterogeneous sensor node platforms. A prototype of the framework for an eco-aware smart space has been developed as a pervasive infrastructure for monitoring and minimizing resource consumption at individual levels and also for building eco-aware homes and workspaces.
  • Keywords
    climatology; ecology; environmental science computing; open systems; ubiquitous computing; wireless sensor networks; EcoSense framework; context layer; distributed sensor networks; eco-aware ambient environment; eco-aware homes; eco-aware workspace; global climate change; heterogeneous sensor network; interoperability; resource consumption minimization; service layer; Ambient intelligence; Context modeling; Context-aware services; Grid computing; Intelligent networks; Intelligent sensors; Large-scale systems; Monitoring; Peer to peer computing; Pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-5175-3
  • Electronic_ISBN
    978-1-4244-5176-0
  • Type

    conf

  • DOI
    10.1109/CCNC.2010.5421741
  • Filename
    5421741