RT Conference Proceedings
T1 Remote Health-Monitoring of First Responders over TETRA Links
A1 Farag, Hossam
A1 Kostic, Milos
A1 Vujic, Aleksandar
A1 Bijelic, Goran
A1 Stefanovic, Cedomir
AB In this paper, we investigate communication performance of a system for remote health-monitoring of first responders over Terrestrial Trunked Radio (TETRA) radio links. The system features a smart garment that periodically records and sends physiological parameters of first responders to a remote agent, which processes the recordings and feeds back the health-status notifications and warnings in the form of electrotactile stimuli. The choice of TETRA as the connectivity solution is driven by its routine use by first responders, thus representing a convenient and economically-effective connectivity basis. However, the support for data communications in TETRA is limited and in practice reduced to the Short Data Service, which adversely affects the delay and failure probability of the messages exchanges in the system, as shown in the paper. Nevertheless, when the system is examined and optimized in terms of the peak Age-of-Information, a metric suitable to characterize the quasi-periodic nature of the considered monitoring process, we show that its performance becomes rather favorable, enabling timely insights into the first responders' health status.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781665442664
SN 1525-3511
YR 2022
FD 2022
LK https://hdl.handle.net/11556/2655
UL https://hdl.handle.net/11556/2655
LA eng
NO Farag , H , Kostic , M , Vujic , A , Bijelic , G & Stefanovic , C 2022 , Remote Health-Monitoring of First Responders over TETRA Links . in 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 . IEEE Wireless Communications and Networking Conference, WCNC , vol. 2022-April , Institute of Electrical and Electronics Engineers Inc. , pp. 1916-1921 , 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 , Austin , United States , 10/04/22 . https://doi.org/10.1109/WCNC51071.2022.9771962
NO conference
NO Publisher Copyright: © 2022 IEEE.
NO ACKNOWLEDGEMENT This paper has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 883315.
DS TECNALIA Publications
RD 26 jul 2024