Clock Synchronization in Wireless Sensor Networks Based on Bayesian Estimation

Yang, Ting; Niu, Yuqing; Yu, Jiguo

doi:10.1109/access.2020.2984785

Cited by 20 publications

(10 citation statements)

References 23 publications

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“…In Section II-D it was shown that when analyzing the case of a WBAN with broadcast timing message dissemination, the message delay reduces to the expression (8). Given its random nature, to reduce the reception time t R at its minimum, the RMQM routine processes the synchronization packet with the highest priority with respect to every other possible ∆T M (j) = ∆T(j) S S (j) + 1 (37) that represents the equivalent accumulated time difference between the master and the slave in a single slot T M .…”

Section: Received Messages Queue Management (Rmqm) Routinementioning

confidence: 99%

A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks

Coviello¹,

Avitabile

Florio

et al. 2021

IEEE Access

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Time synchronization is a topic of interest for any distributed system and it is of particular relevance in Wireless Sensor Networks (WSN), especially when it is necessary to keep a strong level of time synchronization among the data coming from different nodes, which are then employed to perform a posteriori data-fusion and data-merging operations. A special case of WSN is constituted by Wireless Body Area Networks (WBAN). The paper introduces the Fractional Low-power time Synchronization Algorithm (FLSA), a lightweight and ultra-low-power time synchronization algorithm conceived for Wireless Body Area Networks. The core of the proposed approach is the fractional-time concept, borrowed from Phase-Locked Loops theory, that allows achieving fine timer corrections. Moreover, an heuristic routine managing the on/off switching of the radio section of the device allows to dramatically decrease the power consumption. The mathematical discussion, along with a set of experiments is presented, proving the benefits associated with the proposed algorithm.

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Section: Received Messages Queue Management (Rmqm) Routinementioning

confidence: 99%

A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks

Coviello¹,

Avitabile

Florio

et al. 2021

IEEE Access

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“…We focus our attention on the state-of-theart solutions for such limitations because they affect any localization technique regardless of the measurement employed in the localization process, contrary to the particular limitations. Recent solutions for the particular limitations related to time, signal strength, and angular based localization techniques can be found in [99][100][101], [17,102], and [103][104][105], respectively.…”

Section: Recent Solutionsmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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“…Traditional schemes obtain timestamps in the MAC (Media Access Control), and multiple time delays occur in the process of transmitting the message to the antenna, such as sending delay, access delay, transmission delay, and receiving processing delay. The transmission delay, access delay, and receiving processing delay are uncertain delays, which usually bring microsecond or millisecond errors and greatly impact the clock synchronization accuracy [17]. Therefore, traditional clock synchronization schemes always have low accuracy due to inaccurate timestamp data, as shown in Figure 3.…”

Section: The General Architecture Of Hybsyncmentioning

confidence: 99%

Hybsync: Nanosecond Wireless Position and Clock Synchronization Based on UWB Communication with Multisensors

Lei

Xue

et al. 2021

Journal of Sensors

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PNT (positioning, navigation, and timing) is the core functional part of kinds of wireless sensor network, which can provide high-precision timing and positioning services for cooperative work systems. Unfortunately, the mature wireless PNT schemes are generally based on GNSS and other auxiliary sources to complete the high accuracy synchronization process, which cannot be applied to GNSS degraded and denied environments such as mines, underground application. In order to solve the application problem of high-precision wireless PNT, Hybsync—a novel non-GNSS-aided wireless PNT architecture, is proposed in this paper, which integrates the information from the UWB communication, inertial sensor, and camera to achieve great PNT performance. Hybsync improves the accuracy of time deviation measurement by collecting and recording timestamps in hardware layer, and with the coarse/fine synchronization two-phase calibration, Hybsync greatly improves the accuracy of time deviation adjustment, thus providing accurate time information for the whole system. Besides, Hybsync uses the VINS framework to further integrate the real-time information of IMU and camera to complete the multinode positioning service. Under the premise that the cost is much lower than existing solutions, Hybsync can provide nanosecond-level clock synchronization and centimeter-level positioning. Experiments prove that Hybsync supports high-precision clock synchronization and positioning of more than 10 nodes; the maximum clock synchronization error is 3 ns, and the positioning error is 7 cm. It can provide accurate time and position services for cooperative work systems under complex and GNSS-denied conditions.

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Clock Synchronization in Wireless Sensor Networks Based on Bayesian Estimation

Cited by 20 publications

References 23 publications

A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks

A Novel Low-Power Time Synchronization Algorithm Based on a Fractional Approach for Wireless Body Area Networks

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Hybsync: Nanosecond Wireless Position and Clock Synchronization Based on UWB Communication with Multisensors

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