Miniaturization and packaging of implantable wireless sensor nodes for animals monitoring

J. Lu, L. Zhang, S. Matsumoto, H. Hiroshima, K. Serizawa, M. Hayase, T. Gotoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper reports the development and evaluation of a ultra-small and ultra-light wireless sensor node for real time monitoring of biological information of animals. Power consumption of the sensor node was decreased dramatically by improving efficiency of the MCU and irradiation power of the RFIC, which enables a few months life time when using SR416SW batteries. Various configurations of the antenna were investigated for the pursuit of small package size, while maintain an enough communication distance of a few meters. The implant experiments were carried out to investigate performances of the sensor node as well as practicability of the package. Moreover, the feasibility study of a wireless power transmission module as the power source was performed and discussed herein.

Original languageEnglish
Title of host publicationIEEE Sensors, SENSORS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982875
DOIs
Publication statusPublished - Jan 5 2017
Event15th IEEE Sensors Conference, SENSORS 2016 - Orlando, United States
Duration: Oct 30 2016Nov 2 2016

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Other

Other15th IEEE Sensors Conference, SENSORS 2016
CountryUnited States
CityOrlando
Period10/30/1611/2/16

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Lu, J., Zhang, L., Matsumoto, S., Hiroshima, H., Serizawa, K., Hayase, M., & Gotoh, T. (2017). Miniaturization and packaging of implantable wireless sensor nodes for animals monitoring. In IEEE Sensors, SENSORS 2016 - Proceedings [7808817] (Proceedings of IEEE Sensors). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2016.7808817