Speculative Precision Time Protocol: Submicrosecond clock synchronization for the IoT

Resner, Davi; Fröhlich, Antônio Augusto; Wanner, Lucas

doi:10.1109/etfa.2016.7733533

Cited by 25 publications

(9 citation statements)

References 9 publications

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“…In this way, it is possible to reduce the power consumption due to the exchange of the timestamps for the synchronization. As reported in [54], the mean synchronization accuracy is 0.125 µs when the highfrequency clock is used.…”

Section: Precise Synchronization Protocolsmentioning

confidence: 74%

“…The virtual high-resolution time (VHT) protocol improves the accuracy and energy performance of the FTSP [54] by considering a combination of two clocks: (i) a low-frequency, low-power clock for keeping the devices synchronized and (ii) a high-frequency, high-power clock used for high-resolution timestamping. The low-frequency clock is kept synchronized according to the timestamps exchanged between the IoT nodes.…”

Section: Precise Synchronization Protocolsmentioning

confidence: 99%

“…Thus, all the synchronization protocols act to minimize the effects of these two time delays. For this reason, as reported in [54], the protocols act at the MAC layer.…”

Section: Precise Synchronization Protocolsmentioning

confidence: 99%

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Research challenges in Measurement for Internet of Things systems

et al. 2019

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In this paper, an overview of the research challenges in measurements for the design of Internet of Things (IoT) systems is proposed. To this end, a general architecture of an IoT system is presented, which is specialized according to two key requirements: the power supply capabilities of the infrastructure and the time delay constraints of the application. Guidelines for the design of an IoT system are summarized, and the measurement needs are highlighted. A review of the research contributions is given concerning three main measurement topics: (i) energy-aware data acquisition systems, (ii) localization of mobile IoT nodes, and (iii) precise synchronization protocols.

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Section: Precise Synchronization Protocolsmentioning

confidence: 74%

Section: Precise Synchronization Protocolsmentioning

confidence: 99%

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Research challenges in Measurement for Internet of Things systems

et al. 2019

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“…Strain signal prediction requires accurate synchronization between all sensors at high sampling rates, especially for fully wireless sensors. However, such protocols [15,16,17,18,19] can be costly and power consuming. To address this problem, the decoder network shown in Fig.…”

Section: Fully Neural Bwimmentioning

confidence: 99%

Fully-Neural Approach to Vehicle Weighing and Strain Prediction on Bridges Using Wireless Accelerometers

Kawakatsu

Aihara

Takasu

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Bridge weigh-in-motion (BWIM) is a technique of estimating vehicle loads on bridges and can be used to assess a bridge's structural fatigue and therefore its life. BWIM can be realized by analyzing the bridge deflection in terms of its response to moving axle loads. To obtain accurate load estimates, current BWIM systems require strain sensors, whose (re-) installation costs have limited their application. In this paper, we propose a new BWIM approach based on a deep neural network using accelerometers, which are easier to install than strain sensors, thus helping the advancement of low-cost BWIM systems. By learning the bridge dynamism, our model estimates axle loads successfully from the noisy acceleration signals sampled on a real bridge in service.

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“…TSTP implements the mechanisms needed for these synchronizations relying on its cross-layer design and on some control information carried within its messages (see Figure 3). TSTP achieves time synchronization via the Speculative Precision Time Protocol [10], which achieves sub-microsecond precision on a IEEE 802.15.4 WSN. Space synchronization within TSTP is achieved using a speculative version of the Heuristic Cooperative Calibration Positioning System (HeCoPs) [11].…”

Section: B Trustful Space-time Protocol (Tstp)mentioning

confidence: 99%

Byzantine Resilient Protocol for the IoT

Fröhlich

Scheffel

Kozhaya

et al. 2019

IEEE Internet Things J.

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Wireless sensor networks, often adhering to a single gateway architecture, constitute the communication backbone for many modern cyber-physical systems. Consequently, faulttolerance in CPS becomes a challenging task, especially when accounting for failures (potentially malicious) that incapacitate the gateway or disrupt the nodes-gateway communication, not to mention the energy, timeliness, and security constraints demanded by CPS domains. This paper aims at ameliorating the fault-tolerance of WSN based CPS to increase system and data availability. To this end, we propose a replicated gateway architecture augmented with energy-efficient real-time Byzantineresilient data communication protocols. At the sensors level, we introduce FT-TSTP, a geographic routing protocol capable of delivering messages in an energy-efficient and timely manner to multiple gateways, even in the presence of voids caused by faulty and malicious sensor nodes. At the gateway level, we propose a multi-gateway synchronization protocol, which we call ByzCast, that delivers timely correct data to CPS applications, despite the failure or maliciousness of a number of gateways. We show, through extensive simulations, that our protocols provide better system robustness yielding an increased system and data availability while meeting CPS energy, timeliness, and security demands. Index Terms-Fault Tolerance. Algorithm/protocol design and analysis. Routing Protocols. Wireless Sensor Networks. A. A. Fröhlich and R. M. Scheffel where with the Software/Hardware

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Speculative Precision Time Protocol: Submicrosecond clock synchronization for the IoT

Cited by 25 publications

References 9 publications

Research challenges in Measurement for Internet of Things systems

Research challenges in Measurement for Internet of Things systems

Fully-Neural Approach to Vehicle Weighing and Strain Prediction on Bridges Using Wireless Accelerometers

Byzantine Resilient Protocol for the IoT

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