An Overview of a Class of Clock Synchronization Algorithms for Wireless Sensor Networks: A Statistical Signal Processing Perspective

Xu, Wilsun; Jeske, Daniel R.; Serpedin, Erchin

doi:10.3390/a8030590

Cited by 14 publications

(17 citation statements)

References 62 publications

(114 reference statements)

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“…The main path is a path consisting of three routing nodes A, B and C. The secondary path is composed of node B and two sensor nodes D and E. Subnetwork 1, and subnetwork 2 consisting of node C and two sensor nodes F and G. This improved DTMS method uses the TPSN method for the primary path of the router, and uses the DMTS method for the secondary path. This makes the algorithm simpler, the accuracy is greatly improved, and the network consumption is greatly reduced [21].…”

Section: Dmts Methods and Its Improvement (A) Methods Overviewmentioning

confidence: 99%

Research Overview of Clock Synchronization in Wireless Sensor Network

Yuting¹,

Yu²,

Kangli³

et al. 2018

JCSAIT

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Clock synchronization is the key technology of Wireless Sensor Networks, since inaccurate clocks have a significant impact on network accuracy and security. In this paper, an important application of clock synchronization in wireless sensor networks is introduced. It is concluded that the deterministic causes of clock out-ofsynchronization are the effects of offset and drift rate. Five classic methods of improved synchronization method for comparative study. Including: the improved method of least squares ,delay measurement time synchronization, sensor network timing synchronization ,tiny synchronization, lightweight tree synchronization. And we summed up non deterministic factors such as precision, complexity, overhead and so on are summarized, and then we put forward the corresponding problems. Finally, the new development direction and trend of wireless sensor time synchronization algorithm are proposed.

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Section: Dmts Methods and Its Improvement (A) Methods Overviewmentioning

confidence: 99%

Research Overview of Clock Synchronization in Wireless Sensor Network

Yuting¹,

Yu²,

Kangli³

et al. 2018

JCSAIT

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show abstract

“…There are many time synchronization algorithms for wireless sensor network [ 17 ]. In this study, according to the characteristics of the designed smartphone-based wireless system, a sender-receiver based time synchronization algorithms is deployed, which is explained thereafter.…”

Section: Time Synchronization Of Smartphone-based Monitoring Systementioning

confidence: 99%

Design and Validation of Android Smartphone Based Wireless Structural Vibration Monitoring System

Zhang

Tian

2020

Sensors

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Vibration monitoring is one of crucial functions of structural health monitoring (SHM) systems. Traditional structural vibration monitoring usually relies on specialized sensors, data transmission and acquisition equipment, which are expensive and may not be easily available in urgently needed situations like post-disaster structural evaluation. Therefore, developing an affordable and efficient structural vibration monitoring technique becomes an important topic in SHM research. In this paper, the authors developed an android system APP that can easily convert multiple android smartphones into a wireless structural vibration monitoring system. To make the designed system reliable and easy to use, the server/client architecture is adopted. One smartphone is designated as the serve of the system to remotely control all other smartphones, which function as sensors to measure structural vibration. An efficient method is proposed herein to establish the smartphone-based structural vibration monitoring network, allowing the server smartphone to quickly and easily connect multiple sensor smartphones to form the wireless network for structural vibration monitoring. Additionally, a synchronization method is also proposed to synchronize different smartphones for simultaneously measuring structural vibration. To verify the time synchronization accuracy of the developed system, an experiment is designed and conducted. Moreover, a new analysis method of the time synchronization accuracy is also proposed, which verifies that the designed smartphone-based monitoring can achieve the millisecond-level time synchronization accuracy. Finally, a shaking table experiment is conducted on a three-story bench-scale structural model, the results of which demonstrate that the designed smartphone-based wireless structural vibration monitoring system can quite accurately identify the modal parameters of the tested structure.

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“…Centralized time synchronization protocol provides poor scalability and robustness of source node to layered topology network. Distributed time synchronization protocol depends on clock information; it helps to improve the clock parameters [12]. Time variation in synchronizing two sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

r e s t r Efficient Clock Synchronization using Energy Based Proportional Integral and Least Common Multiple Protocol in Wireless Sensor Networks

Muthumalathi¹,

Pankajavalli²,

Priya³

2019

JESTR

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The packet transmission among sensor nodes mainly focuses on clock synchronization. This paper proposes a protocol for efficient clock synchronization in energy based approaches to overcome the clock synchronization invariances and communication overheads. Clustering technique helps to design the sensor network architectures and broadcast the sensor nodes. The existing Mobility Zonal Based Stable Election Protocol (Mob-ZSEP) protocol identifies best path using clustering approach. The selected best path using Mob-ZSEP routing protocol will be utilized by proposed clock synchronization protocols. This research paper proposes two novel protocols: Energy based Proportional Integral and Least Common Multiple (EPILCM) and Weighted based Least Common Multiple (WLCM). EPILCM protocol hybrids two methods such as Energy based Proportional Integral (EPI) and Energy based Least Common Multiple (ELCM). The proposed EPILCM protocol is used for clock synchronization using energy based approach which reduces energy consumption, synchronization error, propagation delay, clock inaccuracy and communication overhead. WLCM protocol performs transmission based on the weight of the packet in sensor networks. The EPILCM, WLCM protocols are compared and the simulation results shows that EPILCM protocol outperforms WLCM protocol.

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An Overview of a Class of Clock Synchronization Algorithms for Wireless Sensor Networks: A Statistical Signal Processing Perspective

Cited by 14 publications

References 62 publications

Research Overview of Clock Synchronization in Wireless Sensor Network

Research Overview of Clock Synchronization in Wireless Sensor Network

Design and Validation of Android Smartphone Based Wireless Structural Vibration Monitoring System

r e s t r Efficient Clock Synchronization using Energy Based Proportional Integral and Least Common Multiple Protocol in Wireless Sensor Networks

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