Optimum Wireless Power Transmission for Sensors Embedded in Concrete

Jiang, Shan

doi:10.25148/etd.fi12120201

Cited by 7 publications

(4 citation statements)

References 68 publications

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“…This may further influence the IPT system's transfer efficiency. In fact, the wireless power transfer technologies have been explored a lot to recharge the batteries of embedded sensors, with the application in structural health monitoring of civil infrastructures like bridges and roadways [28][29][30][31]. In this, due to the electrical loss media like concrete, soil and moisture, the wireless energy transfer efficiency is considerably low, although it was found that improvement can be found by adapting the magnetic resonance technology.…”

Section: Consideration Over Low Electromagentic Lossmentioning

confidence: 99%

Towards new infrastructure materials for on-the-road charging

Chen

Kringos

2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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Abstract-As a future-oriented industry, the electrified mobility has the potential to enhance the sustainability of our road transportation sector radically. With the aim to break the EV batteries' bottleneck (e.g., cost, range anxiety, long waiting time) by focusing not on the battery but on the solution to charge it conveniently, different on-the-road-charging solutions have been found under active investigation. From a road infrastructure perspective, however, little attention has been given to the practical, physical roads where these charging solutions will be enabled. In reality, good performance of E-Road infrastructure in aspects such as robustness, durability, costeffectiveness will be crucial for the final success. Taking the Inductive Power Transfer (IPT) charging solution in a dynamic way as a basis, this paper mainly discusses about the physical infrastructural aspect i.e. the road infrastructural materials and the changed construction and maintenance principles. The paper aims to give developers in this field more awareness of the necessity and potential cross-coupling benefits from interdisciplinary collaboration, by taking the road infrastructure research into the concept development of E-Roads.

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Section: Consideration Over Low Electromagentic Lossmentioning

confidence: 99%

Towards new infrastructure materials for on-the-road charging

Chen

Kringos

2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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“…This assumption holds for a number of scenarios. For example, Jiang et al [11] studied wireless power transmission for sensor nodes buried inside concrete. These sensor nodes collect valuable volumetric data related to the health of a structure, and wirelessly transmit data to a data collection receiver directly [12].…”

Section: A Network Modelmentioning

confidence: 99%

Using Minimum Mobile Chargers to Keep Large-Scale Wireless Rechargeable Sensor Networks Running Forever

Dai

et al. 2013

2013 22nd International Conference on Computer Communication and Networks (ICCCN)

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Abstract-Wireless Rechargeable Sensor Networks (WRSNs) can be recharged after deployment for sustainable operations. Recent works propose to use a single mobile charger (MC) traveling through the network fields to recharge every sensor node. These algorithms work well in small scale networks. However, in large scale networks these algorithms do not work efficiently, especially when the amount of energy the MC can provide is limited. To address these challenges, multiple MCs can be used. In this paper, we investigate the minimum MCs problem (MinMCP) for rechargeable sensor networks: how to find the minimum number of energy-constrained MCs and design their recharging routes given a sensor network such that each sensor node in the WRSN maintains continuous work. Our results are three folds. We first prove that for any > 0, there is no (2− )-approximation algorithm for Distance Constrained Vehicle Routing Problem (DVRP) on a general metric space, which is the best as far as we know. By reducing from DVRP, we prove that MinMCP is NP-hard, and the inapproximability bound for MinMCP is the same as that of DVRP. Then we propose approximation algorithms for this problem. Finally, we conduct simulations to validate the effectiveness of our algorithms.

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“…al. performed a theoretical investigation on the amount of loss accompanied with electromagnetic waves travelling from air into a concrete wall in the frequency range of 1 MHz up to 1 GHz [10]. It can be seen that for installation depths of a few centimeters, losses due to reflections at the boundary dominate.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Optimization of Antennas for Structural Health Monitoring

et al. 2023

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Monitoring and surveillance of buildings, especially in critical infrastructure is crucial to increase the lifetime of such structures. This is due to fact, that buildings from reinforced concrete, like bridges or road tunnels are prone to corrosion due to their exposition to the elements. For this task, wireless sensor nodes can be employed in structural health monitoring. In the last few years passive RFID sensors have been proposed to gather data from inside concrete structures. However, designing antennas which are operational inside concrete to transmit data from the sensor node to the outside world is extremely challenging, due to the fact that the performance of antennas is extremely depended on their surrounding material. In this work, the fully automatized design of an antenna for the UHF band in concrete with varying electrical properties is demonstrated. Using a novel multi objective optimization method, the antennas are operational over a wide range of dielectric properties of the surrounding materials. In contrast to conventional approaches, no air spacers or boxes are needed around the antenna. The antenna parameters have been carefully obtained during the curing and drying process, in an outdoor like environment with 65 % relative humidity. After 157 days of drying, a reflection coefficient of −13 dB and an antenna gain of −8.4 dBi is achieved, at a water content of the concrete of 4.2 % by mass.

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Optimum Wireless Power Transmission for Sensors Embedded in Concrete

Cited by 7 publications

References 68 publications

Towards new infrastructure materials for on-the-road charging

Towards new infrastructure materials for on-the-road charging

Using Minimum Mobile Chargers to Keep Large-Scale Wireless Rechargeable Sensor Networks Running Forever

Evolutionary Optimization of Antennas for Structural Health Monitoring

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