Microwatt Radio for Self-Sustaining Wireless Sensor Networks

Project Details

Description

This project proposes a cross-layer design approach to develop ultra-low-power radios to enable self-sustaining wireless sensor networks (WSNs), that is, WSN powered by energy harvesting. The proposed approach optimizes the overall power consumption by exploiting mutual dependence of system parameters at different system layers. The objective is to achieve a radio with an estimated power consumption 1-3 orders less than the typical values in current designs, which makes energy harvesting feasible for self-sustaining WSNs.



The project will have close collaboration with three academic laboratories: i) the RF and Energy Microsystem Technology Laboratory, Shanghai Institute of Microsystem And Information Technology (SIMIT), China; ii) the MEMS group, Department of Micro-and Nanotechnology, Technical University of Denmark (DTU); and iii) the Lab For Analog Radio-Frequency Integrated Circuits, San Francisco State University (SFSU), USA. The three laboratories have extensive experience in WSN protocols, MEMS energy harvesters and ultra-low-power circuits, respectively.

StatusFinished
Effective start/end date01/01/201130/04/2014

Funding

  • The Danish Council for Independent Research, Technology and Production Sciences. Individual Post-doc

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  • Research Output

    • 5 Article in proceeding
    • 2 Journal article

    A 3-10 GHz IR-UWB CMOS Pulse Generator With 6-mW Peak Power Dissipation Using A Slow-Charge Fast-Discharge Technique

    Shen, M., Yin, Y-Z., Jiang, H., Tong, T. & Mikkelsen, J. H., 9 Jul 2014, In : I E E E Microwave and Wireless Components Letters. 24, 9, p. 634-636 3 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
    File
  • 15 Citations (Scopus)
    596 Downloads (Pure)

    A Dual-Mode UWB Wireless Platform with Random Pulse Length Detection for Remote Patient Monitoring

    Reyes, C., Bisbe, S., Shen, M., Jiang, H. & Mikkelsen, J. H., 2013, Proceedings of the 2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensning Systems (BioWireleSS): BioWireleSS. IEEE Press, p. 22-24 3 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    File
  • 311 Downloads (Pure)

    An Analytical Model for Spectral Peak Frequency Prediction of Substrate Noise in CMOS Substrates

    Shen, M. & Mikkelsen, J. H., 2013, IEEE Norchip, 2013. IEEE, 4 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    432 Downloads (Pure)