UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Energy Harvesting for the Internet-of-Things: Measurements and Probability Models
  • Publication Type:
    Conference
  • Authors:
    Smart G, Atkinson J, Mitchell J, Rodrigues M, Andreopoulos I
  • Publisher:
    IEEE
  • Publication date:
    30/06/2016
  • Published proceedings:
    2016 23rd International Conference on Telecommunications (ICT)
  • Name of conference:
    Proc. 23rd IEEE Int. Conf. in Telecom. (ICT 2016)
  • Conference place:
    Thessaloniki, Greece
  • Conference start date:
    16/05/2016
  • Conference finish date:
    18/05/2016
  • Keywords:
    energy harvesting, internet of things
Abstract
The success of future Internet-of-Things (IoT) based application deployments depends on the ability of wireless sensor platforms to sustain uninterrupted operation based on environmental energy harvesting. In this paper, we deploy a multitransducer platform for photovoltaic and piezoelectric energy harvesting and collect raw data about the harvested power in commonly-encountered outdoor and indoor scenarios. We couple the generated power profiles with probability mixture models and make our data and processing code freely available to the research community for wireless sensors and IoT-oriented applications. Our aim is to provide data-driven probability models that characterize the energy production process, which will substantially facilitate the coupling of energy harvesting statistics with energy consumption models for processing and transceiver designs within upcoming IoT deployments.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Electronic & Electrical Eng
Author
Dept of Electronic & Electrical Eng
Author
Dept of Electronic & Electrical Eng
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by