Paper Info
Title
On the Potential of Data-Based Time Synchronization in Wireless Sensor Networks for Condition Monitoring
Abstract
On trains, predetermined maintenance of wheels requires significant amounts of resources. Therefore, it is desirable to replace the scheduled maintenance by a condition-based maintenance strategy, where manual maintenance only takes place when it is actually necessary. For a minimally invasive retrofitting of wagons, a system consisting of a Wireless Sensor Network (WSN) powered by energy-harvesting offers the most convenient and least costly solution. However, tight time synchronization and high energy efficiency is essential for a successful realization. Established time synchronization techniques for WSNs do not meet the special requirements for this scenario. Looking for an alternative, we noticed that one of the main components of WSNs, the sensor, has been barely exploited for this problem. We will demonstrate the feasibility of using sensor-data-based time synchronization instead of classical message-based synchronization in wireless networks for the example scenario of on-board wheel diameter measurements on trains. In contrast to popular current time synchronization protocols for WSNs, our approach is compatible with every wireless hardware. We perform a simulative evaluation of our approach on various wireless protocols based on message delay distributions measured on Raspberry Pi.
Year
DOI
Venue
2016
10.1109/DCOSS.2016.11
2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)
Keywords
Field
DocType
Wireless Sensor Networks,Time Synchronization,Condition Monitoring,Delay Distribution,Wheel Diameter,Condition Based Maintenance,Data-Based Synchronization
Key distribution in wireless sensor networks,Wireless network,Synchronization,Condition-based maintenance,Wireless,Computer science,Computer network,Real-time computing,Condition monitoring,Wireless sensor network,Maintenance engineering
Conference
ISSN
ISBN
Citations 
2325-2936
978-1-5090-1461-3
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Thomas Hänel131.75
Florian Krampe200.34
Christoph Gericke310.69
Nils Aschenbruck455556.28