Comparison of statistical methods for time synchronization between network nodes equipped with UWB transceivers-Reference-Cited by-同舟云学术

Comparison of statistical methods for time synchronization between network nodes equipped with UWB transceivers

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:11 Euro American Conference on Telematics and Information Systems
language:
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Author:

Soriano-Asensi Antonio¹,Perez Solano Juan J.¹,Felici-Castell Santiago¹,Segura-Garcia Jaume¹,Fayos-Jordan Rafael¹,Navarro Camba Enrique A.¹

Affiliation:

1. Computer Science Department, Universitat de Valencia/Computer Science Department, Spain and Universitat de Valencia, Spain

Funder

Geteralitat Valenciana

Ministerio de Ciencia e Innovación

Universitat de València

Unitersitat de València

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544538.3544669

Reference12 articles.

1. José Joaquín Peralta Abadía , Christian Walther , Ammar Osman , and Kay Smarsly . 2022. A systematic survey of Internet of Things frameworks for smart city applications . Sustainable Cities and Society( 2022 ), 103949. https://doi.org/10.1016/j.scs.2022.103949 José Joaquín Peralta Abadía, Christian Walther, Ammar Osman, and Kay Smarsly. 2022. A systematic survey of Internet of Things frameworks for smart city applications. Sustainable Cities and Society(2022), 103949. https://doi.org/10.1016/j.scs.2022.103949

2. Decawave. 2015. DWM1001 System Overview And Performance. https://www.Decawave.com/content/dwm1001-system-overview-andperformance. Accessed: 26/05/2020. Decawave. 2015. DWM1001 System Overview And Performance. https://www.Decawave.com/content/dwm1001-system-overview-andperformance. Accessed: 26/05/2020.

3. Fine-grained network time synchronization using reference broadcasts

4. Timing-sync protocol for sensor networks

5. Estimating Clock Uncertainty for Efficient Duty-Cycling in Sensor Networks