Study on Electromagnetic Wave Propagation Characteristics in Rotating Environments and Its Application in Tire Pressure Monitoring

Leng, Yangming; Dong, Wei; Peng, Shirui; Ge, Xiaohu; Nga, Guy Joseph; Liu, Sheng

doi:10.1109/tim.2011.2181896

Cited by 22 publications

(5 citation statements)

References 19 publications

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“…We do not mention its detail in this paper, but please refer to Refs. [35], [36] etc. That is, the designers can appropriately decide the authentication window to meet required authentication-success rate.…”

Section: Noise On the Genuine Signalsmentioning

confidence: 99%

Radio Propagation Characteristics-based Spoofing Attack Prevention on Wireless Connected Devices

Sonoyama

Ono

Kanaya

et al. 2019

Journal of Information Processing

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A spoofing attack is a critical issue in wireless communication in which a malicious transmitter outside a system attempts to be genuine. As a countermeasure against this, we propose a device-authentication method based on position identification using radio-propagation characteristics (RPCs). Not depending on information processing such as encryption technology, this method can be applied to sensing devices etc. which commonly have many resource restrictions. We call the space from which attacks achieve success as the "attack space." In order to confine the attack space inside of the target system to prevent spoofing attacks from the outside, formulation of the relationship between combinations of transceivers and the attack space is necessary. In this research, we consider two RPCs, the received signal strength ratio (RSSR) and the time difference of arrival (TDoA), and construct the attack-space model which uses these RPCs simultaneously. We take a tire pressure monitoring system (TPMS) as a case study of this method and execute a security evaluation based on radio-wave-propagation simulation. The simulation results assuming multiple noise environments all indicate that it is possible to eliminate the attack possibility from a distant location.

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Section: Noise On the Genuine Signalsmentioning

confidence: 99%

Radio Propagation Characteristics-based Spoofing Attack Prevention on Wireless Connected Devices

Sonoyama

Ono

Kanaya

et al. 2019

Journal of Information Processing

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show abstract

“…A few examples are piezoelectric sensors, surface acoustic wave sensors, capacitance based strain sensors, fiber Bragg grating, and resistance based strain sensors, segmented capacitance ring . With implementing the aforesaid sensory technologies, a fully functional smart tire is capable of providing information about longitudinal force, lateral force, normal force, friction coefficient, inflation pressure, and aligning moment. Furthermore, we can have online information about tire tread deformation with implementation of TCMS .…”

Section: Techniques For Sensing and Energy Harvesting In Tirementioning

confidence: 99%

Tire Condition Monitoring and Intelligent Tires Using Nanogenerators Based on Piezoelectric, Electromagnetic, and Triboelectric Effects

Argani

Hashemi

Khajepour

et al. 2018

Adv Materials Technologies

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With the prospect of autonomous driving on roads in near future, it is paramount to make the vehicles safe on any driving and road condition. This is only possible by additional sensors to make up for the driver's cognitive and sensory system. Measuring road condition and tire forces especially in autonomous vehicles are vital in their safety, reliability, and public confidence in automated driving. Real time measurement of road condition and tire forces in buses and trucks can significantly improve the safety of road transportation system, and in miming/construction and off-road vehicles can improve performance, tire life, and reduce operational costs.There are three particular branches of research in the area of tire condition monitoring systems (TCMS) including estimation, sensing, and power harvesting. The main focus of this review article would be on progress in estimation techniques, energy harvesting, and also sensing approaches for TCMS based on piezoelectric, electromagnetic, and triboelectric nanogenerators (TENGs). Indeed, the fusion of these three areas in a singular package leads to designing future intelligent tires. The implementation of intelligent tires is highly advantageous for reduction of disastrous accidents,CO 2 , and noise emissions, and also fuel consumption. Figure 1 depicts an intelligent tire with its basic parts, its crucial applications, and advantages. In Figure 1, NGs, PEGs, and EMGs refer to nanogenerators, piezoelectric nanogenerators, and electromagnetic generators, respectively.Advances in applications of sensor technologies, sensor fusion, and cooperative estimation in intelligent transportation systems facilitate having reliable tire forces. Consequently, developing a flexible estimation structure to operate the available sensor data in production vehicles is a preeminent objective of the car manufacturers. In this direction, reliable estimation of tire forces at a reasonable cost is necessary for proper functioning of active safety systems in current vehicles. Longitudinal, lateral, and vertical tire forces make major contributions to velocity estimation, [3] traction and stability control, [4,5] and obstacle avoidance systems. [6,7] This article provides a comprehensive review on intelligent tire and TCMS. The first part of the article describes tire models, techniques for tire force, and tire-road friction The quest to utilize intelligent tires has prompted substantial multidisciplinary research including vehicle dynamics, control, estimation, energy harvesting, and even nanotechnology. This review article presents the progress in the area of tire condition monitoring systems (TCMS) and intelligent tires using devices fabricated based on piezoelectric, electromagnetic, and triboelectric effects. Three main branches of the research in this area are presented, including estimation techniques, sensing, and energy harvesting approaches. The authors delineate the importance of TCMS for vehicle active safety systems, its importance for transportation safety, and also its remarka...

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“…This has the advantage that it makes the radius of rotation of the wireless units very small, so that the rotation of the wind turbine blades has no effect on the data transmitted. This is because the path loss is inversely proportional to the rotating radius of wireless units [25].…”

Section: In Situ Wireless Shm Systemmentioning

confidence: 99%

Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks

et al. 2015

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Structural health monitoring (SHM) is important for reducing the maintenance and operation cost of safety-critical components and systems in offshore wind turbines. This paper proposes anin situwireless SHM system based on an acoustic emission (AE) technique. By using this technique a number of challenges are introduced due to high sampling rate requirements, limitations in the communication bandwidth, memory space, and power resources. To overcome these challenges, this paper focused on two elements: (1) the use of anin situwireless SHM technique in conjunction with the utilization of low sampling rates; (2) localization of acoustic sources which could emulate impact damage or audible cracks caused by different objects, such as tools, bird strikes, or strong hail, all of which represent abrupt AE events and could affect the structural health of a monitored wind turbine blade. The localization process is performed using features extracted from aliased AE signals based on a developed constraint localization model. To validate the performance of these elements, the proposed system was tested by testing the localization of the emulated AE sources acquired in the field.

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Study on Electromagnetic Wave Propagation Characteristics in Rotating Environments and Its Application in Tire Pressure Monitoring

Cited by 22 publications

References 19 publications

Radio Propagation Characteristics-based Spoofing Attack Prevention on Wireless Connected Devices

Radio Propagation Characteristics-based Spoofing Attack Prevention on Wireless Connected Devices

Tire Condition Monitoring and Intelligent Tires Using Nanogenerators Based on Piezoelectric, Electromagnetic, and Triboelectric Effects

Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks

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