Rapid clock synchronisation for ubiquitous sensing services involving multiple smartphones

Luo, Chu; Koski, Henri; Korhonen, Mikko; Goncalves, Jorge; Anagnostopoulos, Theodoros; Konomi, Shin’Ichi; Klakegg, Simon; Kostakos, Vassilis (2017-09-11)
 
Avaa tiedosto
Lataukset: 

URL:
https://doi.org/10.1145/3123024.3124432

Luo, Chu
Koski, Henri
Korhonen, Mikko
Goncalves, Jorge
Anagnostopoulos, Theodoros
Konomi, Shin’Ichi
Klakegg, Simon
Kostakos, Vassilis
Association for Computing Machinery
11.09.2017

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

https://rightsstatements.org/vocab/InC/1.0/
© 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.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1145/3123024.3124432
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019082725822
Tiivistelmä

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.

Kokoelmat