Time synchronization in vehicular ad-hoc networks: A survey on theory and practice

Hasan, Khondokar Fida; Wang, Charles; Feng, Yanming; Tian, Yu-Chu

doi:10.1016/j.vehcom.2018.09.001

Cited by 43 publications

(30 citation statements)

References 22 publications

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“…Furthermore, to function such coordination as per the age of information, the applications require that all the involved vehicles are synchronized to the same reference clock, usually provided by GPS. However, for such critical operations, a backup time synchronization service must be provided by the roadside communication infrastructure to handle GPS signal blockages and outages [8].…”

Section: Vehicular Communicationmentioning

confidence: 99%

Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC

et al. 2019

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Wireless edge is about distributing intelligence to the wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an over-the-air (OTA) synchronization scheme comprised of 5G air interface parameters, and discuss their associated timing errors. We evaluate the estimation error in device-tobase station propagation delay from timing advance (TA) under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.

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Section: Vehicular Communicationmentioning

confidence: 99%

Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC

et al. 2019

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“…where currentTime is the instant the vehicle is receiving the Data packet. A proper computation of the RFP parameter is ensured by the fact that all vehicles maintain strict synchronization with the Coordinated Universal Time (UTC) that can be acquired from the Global Navigation Support System (GNSS) [42]. When caching the Data packet, the node sets a timeout equal to RFP.…”

Section: Freshness-driven Caching (Fdc) Strategymentioning

confidence: 99%

Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis

Amadeo

Campolo

Ruggeri

et al. 2020

Sensors

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Named Data Networking (NDN) is a promising communication paradigm for the challenging vehicular ad hoc environment. In particular, the built-in pervasive caching capability was shown to be essential for effective data delivery in presence of short-lived and intermittent connectivity. Existing studies have however not considered the fact that multiple vehicular contents can be transient, i.e., they expire after a certain time period since they were generated, the so-called FreshnessPeriod in NDN. In this paper, we study the effects of caching transient contents in Vehicular NDN and present a simple yet effective freshness-driven caching decision strategy that vehicles can implement autonomously. Performance evaluation in ndnSIM shows that the FreshnessPeriod is a crucial parameter that deeply influences the cache hit ratio and, consequently, the data dissemination performance.

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“…The difference (offset) is subtracted from the leading angle, shown in Equations (8)- (11). The resulting, merged angle signals used for further computation (e.g., in characterization computation, Figure 13) are described in Equations (12) and (13) as a saw-tooth characteristic with the starting value ϕ ref and ϕ DUT from Equations (10) and (11).…”

Section: Merging Of Dut and Reference Angle Plus Angle Error Determinmentioning

confidence: 99%

“…State-of-theart network synchronization algorithms [8][9][10] are not suitable to meet the requirements, because measurement systems do not rely on network models and communication protocols. Other real-time and offline synchronization methods only rely on clock synchronization of independent working systems, but they do not enable measurand compensation in the same step [11][12][13][14]. , an electronic control unit, the three-phase electric motor and the rotor position sensor (e.g., resolver) [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Extended Approach for Validation and Optimization of Position Sensor Signal Processing in Electric Drive Trains

Datlinger

Hirz

2019

Electronics

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Due to the increasing electrification of automotive drive train systems, accurate position and speed sensors play an important role to achieve an optimum drive train performance and driving range. These sensor systems determine the rotor shaft position to deliver exact data for efficient drive train control. The system itself must be reliable, sufficiently accurate and cost efficient at the same time. In this way, the design process of the sensor system is influenced by a trade-off, which influences the system performance in view of different parameters, e.g., resolution and data processing accuracy. The focus of the present work is to introduce a method for benchmarking the performance of not only the rotor shaft position sensor, but the whole electric drive train sensor systems by use of a highly accurate reference system on a specifically developed test bench. To achieve a significant benchmark statement by determination of the rotor position angle error, the independent measuring systems, the automotive drive train system and the reference system are synchronized by the use of a common trigger/clock signal. The mentioned signal defines the time steps of the system under test rotor position angle capturing procedure and those of the reference system simultaneously. This enables a common time-base for two independent working measurement systems. This publication provides information about a concept for enhanced rotor position sensor evaluation that enables the merging of real-time data processing with test bench measurement. This procedure provides an important basis for the selection and optimization of position sensor systems for sophisticated electric powertrains.

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Time synchronization in vehicular ad-hoc networks: A survey on theory and practice

Cited by 43 publications

References 22 publications

Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC

Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC

Caching Transient Contents in Vehicular Named Data Networking: A Performance Analysis

An Extended Approach for Validation and Optimization of Position Sensor Signal Processing in Electric Drive Trains

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