University of Oulu

Chu Luo, Henri Koski, Mikko Korhonen, Jorge Goncalves, Theodoros Anagnostopoulos, Shin'Ichi Konomi, Simon Klakegg, and Vassilis Kostakos. 2017. Rapid clock synchronisation for ubiquitous sensing services involving multiple smartphones. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM, New York, NY, USA, 476-481. DOI: https://doi.org/10.1145/3123024.3124432

Rapid clock synchronisation for ubiquitous sensing services involving multiple smartphones

Saved in:
Author: Luo, Chu1; Koski, Henri2; Korhonen, Mikko2;
Organizations: 1University of Melbourne, Parkville, VIC 3052, Australia
2University of Oulu, Oulu, Finland
3Ordnance Survey, UK
4University of Tokyo, Tokyo, Japan
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019082725822
Language: English
Published: Association for Computing Machinery, 2017
Publish Date: 2019-08-27
Description:

Abstract

This paper investigates the precision of rapid clock synchronisation for ubiquitous sensing services which consist of multiple smartphones. Specifically, we consider scenarios where multiple smartphones are used to sense physical phenomena, and subsequently the sensor data from multiple distributed devices is aggregated. We observe that the accumulated clock drift for smartphones can be more than 150ms per day in the worst case. We show that solutions using the public Network Time Protocol (NTP) can be noisy with errors up to 1800ms in one request. We describe a rapid clock synchronisation technique that reduces drift to 10ms on average (measured by linear regression) and achieves pair-wise synchronisation between smartphones with an average of 27ms (measured by accelerometer), following a Gaussian-like distribution. Our results provide a lower bound for rapid clock synchronisation as a guide when developing ubiquitous sensing services using multiple smartphones.

see all

ISBN: 978-1-4503-5190-4
Pages: 476 - 481
DOI: 10.1145/3123024.3124432
OADOI: https://oadoi.org/10.1145/3123024.3124432
Host publication: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
Conference: ACM International Joint Conference on Pervasive and Ubiquitous Computing
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is partially funded by SocialNUI, the Academy of Finland (Grants 276786-AWARE, 286386-CPDSS, 285459-iSCIENCE, 304925-CARE), the European Commission (Grant 6AIKA-A71143-AKAI), and Marie Skłodowska-Curie Actions (645706-GRAGE).
EU Grant Number: (645706) GRAGE - Grey and green in Europe: elderly living in urban areas
Academy of Finland Grant Number: 276786
286386
285459
304925
Detailed Information: 276786 (Academy of Finland Funding decision)
286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
304925 (Academy of Finland Funding decision)
Copyright information: © 2017 Copyright is held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17), https://doi.org/10.1145/3123024.3124432.