A battery-less BLE smart sensor for room occupancy tracking supplied by 2.45-GHz wireless power transfer

Dekimpe, Rémi; Xu, Pengcheng; Schramme, Maxime; Gérard, Pierre; Flandre, Denis; Bol, David

doi:10.1016/j.vlsi.2019.03.006

Cited by 20 publications

(11 citation statements)

References 7 publications

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“…However, disadvantages also exist in comparison with NFC as Bluetooth requires power through a battery. A batteryless Bluetooth smart sensor that exploits a wireless power transfer system was recently reported that overcomes this disadvantage . In addition to NFC and Bluetooth, the wireless communication method using a printed circuit board (PCB) is one of the most frequently used wireless communication methods .…”

Section: Advanced Strategies For Wearable Smart Sensing Systems Basedmentioning

confidence: 99%

Smart Sensing Systems Using Wearable Optoelectronics

Hwang

et al. 2020

Advanced Intelligent Systems

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A wearable smart sensing system is capable of continuously monitoring biometric information such as respiration, pulse, and body temperature while attached to an arbitrary surface on the user's body to be utilized freely during activities. Research conducted on new materials, fabrication processes, structure of electrodes, and wireless communication technologies has made constant progress in the development of smart sensing systems that use entirely wearable forms of devices to go beyond conventional devices that are based on intrinsically rigid components, such as silicon. Among various platforms that can be used in the development of smart sensing systems, optoelectronics provides innovative sensing functions (e.g., human–machine interfaces and phototherapy) that can be transferred from traditional healthcare to smart healthcare, such as point of care. Optoelectronics are light‐mediated displays that allow a light source to be controlled and a large light spectrum to be detected. Recently, this platform that uses smart and wearable optoelectronic sensing systems has become increasingly advanced to better help human beings treat their diseases through self‐healthcare. Herein, recent advanced technologies in materials, structures, and wireless platforms for smart sensors using wearable optoelectronics are reviewed.

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Section: Advanced Strategies For Wearable Smart Sensing Systems Basedmentioning

confidence: 99%

Smart Sensing Systems Using Wearable Optoelectronics

Hwang

et al. 2020

Advanced Intelligent Systems

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“…They showed battery-free BLE devices powered with solar cells in a room or building environment could broadcast pre-programmed information such as GPS coordinates. Batteryless BLE prototypes for smart building applications have also been presented, making use of ambient light energy [ 11 ] or RF energy harvesting [ 12 ]. Sanislav et al [ 13 ] implemented a proof-of-concept design of a BLE device based on a wireless energy harvesting element.…”

Section: Related Workmentioning

confidence: 99%

Enabling Low-Latency Bluetooth Low Energy on Energy Harvesting Batteryless Devices Using Wake-Up Radios

Sultania

Delgado

Famaey

2020

Sensors

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With the growth of the number of IoT devices, the need for changing batteries is becoming cumbersome and has a significant environmental impact. Therefore, batteryless and maintenance-free IoT solutions have emerged, where energy is harvested from the ambient environment. Energy harvesting is relevant mainly for the devices that have a low energy consumption in the range of thousands of micro-watts. Bluetooth Low Energy (BLE) is one of the most popular technologies and is highly suitable for such batteryless energy harvesting devices. Specifically, the BLE friendship feature allows a Low Power Node (LPN) to sleep most of the time. An associated friend node (FN) temporarily stores the LPN’s incoming data packets. The LPN wakes up and polls periodically to its FN retrieving the stored data. Unfortunately, the LPNs typically experience high downlink (DL) latency. To resolve the latency issue, we propose combining the batteryless LPN with a secondary ultra-low-power wake-up radio (WuR), which enables it to always listen for an incoming wake-up signal (WuS). The WuR allows the FN to notify the LPN when new DL data is available by sending a WuS. This removes the need for frequent polling by the LPN, and thus saves the little valuable energy available to the batteryless LPN. In this article, we compare the standard BLE duty-cycle based polling and WuR-based data communication between an FN and a batteryless energy-harvesting LPN. This study allows optimising the LPN configuration (such as capacitor size, polling interval) based on the packet arrival rate, desired packet delivery ratio and DL latency at different harvesting powers. The result shows that WuR-based communication performs best for high harvesting power (400 μW and above) and supports Poisson packet arrival rates as low as 1 s with maximum PDR using a capacitor of 50 mF or more.

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“…Thus, LoRa can be used together with vibrational energy harvesters for bridge monitoring [6] or with RF energy harvesters for health monitoring in construction [7]. Another example of the successful application of telecommunication technologies with energy harvesting is the usage of Bluetooth Low Energy (BLE) with ambient light energy harvester [8] or RF energy harvesters [9] in Smart Building scenarios, e.g., to track the room occupancy.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, it can be used in sensing scenarios, such as residential scenarios (smart meters, elderly care) or environmental and agricultural monitoring with a transmission range of <1 km [11]. Such scenarios are a perfect match for energy harvesting batteryless sensors [8,9,12] to be used in conjunction with Wi-Fi HaLow. These sensors can harvest RF, thermal, solar, or mechanical energy [13].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Machine-Type Communication of Energy-Harvesting Devices in Wi-Fi HaLow Networks

Bankov

Khorov

Lyakhov

et al. 2020

Sensors

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The recent Wi-Fi HaLow technology focuses on adopting Wi-Fi for the needs of the Internet of Things. A key feature of Wi-Fi HaLow is the Restricted Access Window (RAW) mechanism that allows an access point to divide the sensors into groups and to assign each group to an exclusively reserved time interval where only the stations of a particular group can transmit. In this work, we study how to optimally configure RAW in a scenario with a high number of energy harvesting sensor devices. For such a scenario, we consider a problem of device grouping and develop a model of data transmission, which takes into account the peculiarities of channel access and the fact that the devices can run out of energy within the allocated intervals. We show how to use the developed model in order to determine the optimal duration of RAW intervals and the optimal number of groups that provide the required probability of data delivery and minimize the amount of consumed channel resources. The numerical results show that the optimal RAW configuration can reduce the amount of consumed channel resources by almost 50%.

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A battery-less BLE smart sensor for room occupancy tracking supplied by 2.45-GHz wireless power transfer

Cited by 20 publications

References 7 publications

Smart Sensing Systems Using Wearable Optoelectronics

Smart Sensing Systems Using Wearable Optoelectronics

Enabling Low-Latency Bluetooth Low Energy on Energy Harvesting Batteryless Devices Using Wake-Up Radios

Resource Allocation for Machine-Type Communication of Energy-Harvesting Devices in Wi-Fi HaLow Networks

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