GPS-aided lightweight architecture to support multi-sensor data synchronization

Lecce, Vincenzo Di; Amato, Alberto; Calabrese, Marco

doi:10.1109/imtc.2008.4547021

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…For example, in [14] an innovative wireless end device is presented to monitor structures in a synchronized way. In [15] the researchers make use of the Global Positioning System (GPS) and in [16] the networks base their time synchronization on real-time clock (RTC) modules.…”

Section: Related Workmentioning

confidence: 99%

A Methodology for Choosing Time Synchronization Strategies for Wireless IoT Networks

Tirado-Andrés

Rozas

Araújo

2019

Sensors

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The wireless Internet of Things (IoT) family grows without interruption. Every day more applications and wireless devices are available to interconnect and help solve multiple problems in areas such as health, critical infrastructure, industry, etc. Many of the tasks to be performed by the IoT network require time synchronization for their correct operation, either to use the spectrum more efficiently, to add data from different sensors, or to carry out coordinated communications. Each of these applications has different requirements regarding time synchronization. This means that the decision of which strategy to follow to synchronize an IoT end device becomes a task that requires important prior analysis and usually, if developers are experts in the topic, ends with the implementation of an ad hoc solution. In this article, we present a methodology to choose an adequate time-synchronization strategy for any wireless IoT application. We also present a tool that executes the methodology, guiding the IoT application developer through some input forms. This combination of methodology and tool abstracts developers from the complexities of time-synchronization strategies, allowing them to choose the correct strategy regardless of their level of knowledge in wireless IoT time synchronization. As a result, the methodology offers a set of time-synchronization strategies that are adjusted to the needs of developers and applications.

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Section: Related Workmentioning

confidence: 99%

A Methodology for Choosing Time Synchronization Strategies for Wireless IoT Networks

Tirado-Andrés

Rozas

Araújo

2019

Sensors

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“…tp [1] ts [1] ts [2] ts [3] ts [4] ts [5] ts [6] ts [7] ts [8] ts [9] Current Local Time : tc Accurate Window Responsive Window Intersection Window tp [3] Responsive Window ts [4] ts [5] ts [6] ts [7] ts [8] ts [9] ts Figure 5. Aligning the frames adding increasing values of response delays to the rendering, and gauging the user's response on whether the experience was normal, tolerable, slightly tolerable, slightly intolerable and not tolerable.…”

Section: Figure 6 Global View Vector Exchangementioning

confidence: 99%

“…These works focus on minimizing skew and maintaining the synchronization between video and audio data across the sender-receiver framework under varying network dynamics. [4] and [5] study synchronizing acquisition of data between multiple sensors, but they either have a high cost of implementation or are not feasible in indoor systems. Our solution considers a very important user experience factor in the buffering and view alignment strategy, which the current methods only partially address.…”

Section: Introductionmentioning

confidence: 99%

Describing a view alignment framework in 3D Tele-immersion systems

Venkatraman¹,

Raghuraman²,

Prabhakaran³

2013

2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

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A collaborative 3D Tele-immersion (3DTI) system consists of multiple sensor devices sending streams of data to and from each other. We consider the data streams produced from Microsoft Kinect cameras here. A single camera produces large volumes of data every second. A large bandwidth and low network delay is required to support the streaming of large amounts of data in near real time in order to provide a good quality of experience (QoE), High network delay over the Internet causes a view disparity between the multiple sites and an inter-stream disparity between two streams from the same site. Both these issues hinder the QoE. We address these issues here and provide our solutions for it. We touch upon an interpolation based scheme which uses redundant data from the Kinect sensors to only send minimal amounts of data every second. We introduce a framework to put this interpolation scheme to effective use and to measure and minimize the view and inter-stream disparities with multiple sites using a time vector based solution.

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“…But as mentioned earlier, this approach cannot be applied to all sensors. In [3] a method for software timestamping is proposed using UTC time including a procedure to improve the timestamps, yet the data are only timestamped after they have arrived in the buffer. In [4] a method for synchronizing the clocks of several computers to a common reference clock is described.…”

Section: Introductionmentioning

confidence: 99%

Precise timestamping and temporal synchronization in multi-sensor fusion

Huck

Westenberger

Fritzsche

et al. 2011

2011 IEEE Intelligent Vehicles Symposium (IV)

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This paper presents a new approach to exact timestamping of asynchronous measurements in a multi-sensor setup. In order to improve the performance of a single sensor, driver assistance systems use several different sensors which have different latencies that usually cannot be measured directly. These unknown latencies pose a problem in data association and temporal synchronization. Consequently, a method to estimate or incorporate the latencies is needed in all sensor fusion algorithms in order to derive the real time of a measurement. In this paper a method is described to compensate the sensor latencies even if they cannot be observed directly.

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GPS-aided lightweight architecture to support multi-sensor data synchronization

Cited by 9 publications

References 6 publications

A Methodology for Choosing Time Synchronization Strategies for Wireless IoT Networks

A Methodology for Choosing Time Synchronization Strategies for Wireless IoT Networks

Describing a view alignment framework in 3D Tele-immersion systems

Precise timestamping and temporal synchronization in multi-sensor fusion

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