Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks
AbstractThe time synchronization protocol is indispensable in various applications of wireless sensor networks, such as scheduling, monitoring, and tracking. Numerous protocols and algorithms have been proposed in recent decades, and many of them provide micro-scale resolutions. However, designing and implementing a time synchronization protocol in a practical wireless network is very challenging compared to implementation in a wired network; this is because its performance can be deteriorated significantly by many factors, including hardware quality, message delay jitter, ambient environment, and network topology. In this study, we measure the performance of the Flooding Time Synchronization Protocol (FTSP) and Gradient Time Synchronization Protocol (GTSP) in terms of practical network conditions, such as message delay jitter, synchronization period, network topology, and packet loss. This study provides insights into the operation and optimization of time synchronization protocols. In addition, the performance evaluation identifies that FTSP is highly affected by message delay jitter due to error accumulation over multi-hops. We demonstrate that the proposed extended version of the FTSP (E-FTSP) alleviates the effect of message delay jitter and enhances the overall performance of FTSP in terms of error, time, and other factors. View Full-Text
Share & Cite This Article
Phan, L.-A.; Kim, T.; Kim, T.; Lee, J.; Ham, J.-H. Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks. Sensors 2019, 19, 3020.
Phan L-A, Kim T, Kim T, Lee J, Ham J-H. Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks. Sensors. 2019; 19(13):3020.Chicago/Turabian Style
Phan, Linh-An; Kim, Taejoon; Kim, Taehong; Lee, JaeSeang; Ham, Jae-Hyun. 2019. "Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks." Sensors 19, no. 13: 3020.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.