Fog-enabled WSN system for animal behavior analysis in precision dairy

Kriti Bhargava, Stepan Ivanov, Chamil Kulatunga, William Donnelly

Research output: Chapter in Book/Report/Conference proceedingChapter

11 Citations (Scopus)

Abstract

Summary form only given. Strong light-matter coupling has been recently successfully explored in the GHz and THz [1] range with on-chip platforms. New and intriguing quantum optical phenomena have been predicted in the ultrastrong coupling regime [2], when the coupling strength Ω becomes comparable to the unperturbed frequency of the system ω. We recently proposed a new experimental platform where we couple the inter-Landau level transition of an high-mobility 2DEG to the highly subwavelength photonic mode of an LC meta-atom [3] showing very large Ω/ωc = 0.87. Our system benefits from the collective enhancement of the light-matter coupling which comes from the scaling of the coupling Ω ∝ √n, were n is the number of optically active electrons. In our previous experiments [3] and in literature [4] this number varies from 104-103 electrons per meta-atom. We now engineer a new cavity, resonant at 290 GHz, with an extremely reduced effective mode surface Seff = 4 × 10-14 m2 (FE simulations, CST), yielding large field enhancements above 1500 and allowing to enter the few (
Original languageEnglish
Title of host publication2017 International Conference on Computing, Networking and Communications, ICNC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages504-510
Number of pages7
ISBN (Print)9781509045884
DOIs
Publication statusPublished - 13 Mar 2017
EventInternational Conference on Computing, Networking and Communication - Silicon Valley, United States
Duration: 26 Jan 201729 Jan 2017
http://www.conf-icnc.org/2017/

Publication series

Name2017 International Conference on Computing, Networking and Communications, ICNC 2017

Conference

ConferenceInternational Conference on Computing, Networking and Communication
Abbreviated titleICNC 2017
CountryUnited States
CitySilicon Valley
Period26/01/1729/01/17
Internet address

Keywords

  • behavior analysis
  • edge mining
  • fog computing
  • virtual fence
  • wireless sensor networks

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    Bhargava, K., Ivanov, S., Kulatunga, C., & Donnelly, W. (2017). Fog-enabled WSN system for animal behavior analysis in precision dairy. In 2017 International Conference on Computing, Networking and Communications, ICNC 2017 (pp. 504-510). (2017 International Conference on Computing, Networking and Communications, ICNC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2017.7876180