Potential of Sub-GHz Wireless for Future IoT Wearables and Design of Compact 915 MHz Antenna

Serio, Adolfo Di; Buckley, John; Barton, John; Newberry, Robert; Rodencal, Matthew; Dunlop, Gary; O’Flynn, Brendan

doi:10.3390/s18010022

Cited by 24 publications

(32 citation statements)

References 27 publications

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“…This transmission robustness is enabled by the characteristics of the LoRa modulation, which is a proprietary modulation by Semtech (Camarillo, CA, USA) based on the Chirp Spread Spectrum (CSS) modulation technique [26]. The use of low frequency bands (868 MHz and 911 MHz in Europe and America, respectively) improves the transmission range and penetration in comparison with other typical higher frequency bands such as 2.4 GHz [27]. In addition, low frequency instruments are cheaper than those operating at higher frequencies.…”

Section: Loramentioning

confidence: 99%

Tracking and Monitoring System Based on LoRa Technology for Lightweight Boats

et al. 2018

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Maritime communications are really challenging due to the adverse transmission conditions and the lack of a pre-provided infrastructure for supporting long range connectivity with land. Communications in high seas are usually covered by satellite links that are expensive and lead to high power consumption by the terminals. However, in areas closer to the shore, other communication options have been adopted for different kinds of services such as boat tracking and telemetry, data collection from moored monitoring systems, etc. In these scenarios, technologies such as cellular communications or wireless sensor networks have been employed so far; nevertheless, all of them present different drawbacks mostly related with the coverage and energy-efficiency of the system. Recently, a novel communication paradigm, so-called Low Power-Wide Area Network (LP-WAN) has gained momentum due to its interesting characteristics regarding transmission distances and end-node’s power consumption. The latter may be of great interest for ships with energetic restrictions such as small sailboats, recreational boats, or radio control ships. For that reason, in this work, we present a boat tracking and monitoring system based on LoRa (Long Range), one of the most prominent LP-WAN technologies. We provide a comprehensive overview of this communication solution as well as a discussion addressing its benefits when applied to maritime scenarios. We present the results extracted from a case of study, where real-training sessions of Optimist Class sailboats have been monitored by means of the presented architecture, obtaining good levels of coverage and link-reliability with limited power consumption. A transmission range study is also presented, demonstrating the validity of this proposal for monitoring activities inside the port or maneuvers close to the shore.

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Section: Loramentioning

confidence: 99%

Tracking and Monitoring System Based on LoRa Technology for Lightweight Boats

et al. 2018

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“…Power consumption is a critical concern for battery-powered wearable devices, and it depends on several factors such as the wireless protocol, radio transceiver, frequency of operation, and the channel co-existence [5,45]. Due to the co-existence issue at the 2.45 GHz band, multiple retransmissions may be required, which leads to an increased power consumption [25,26].…”

Section: Power Consumptionmentioning

confidence: 99%

“…Due to the co-existence issue at the 2.45 GHz band, multiple retransmissions may be required, which leads to an increased power consumption [25,26]. Due to less attenuation of RF propagating through walls and other obstacles, the radio transceiver operating at 868 MHz requires less power to achieve a similar communication range as at 2.45 GHz [5,41,43]. In [5], the current consumption for 915 MHz and 2.45 GHz bands are analytically calculated and show that, depending on the chosen sampling rate and applications, the Sub-GHz band sensor devices have the potential to operate at a significantly lower current level than the 2.45 GHz band.…”

Section: Power Consumptionmentioning

confidence: 99%

“…The IoT market is growing continuously, and it is expected that, by 2025, global IoT market revenue will rise to around 1.6 trillion U.S. dollars (USD) [4]. The IoT-enabled wearable sensor devices have become a promising technology that enables applications such as continuous wireless monitoring of vital physiological parameters such as arterial oxygen saturation (SpO 2 ) and heart rate (HR) [5]. Among the various wearable devices available, it is forecasted that the end-user spending on smartwatches could exceed 27 billion USD in 2021 [6].…”

Section: Introductionmentioning

confidence: 99%

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A Wristwatch-Based Wireless Sensor Platform for IoT Health Monitoring Applications

Kumar

Buckley

Barton

et al. 2020

Sensors

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A wristwatch-based wireless sensor platform for IoT wearable health monitoring applications is presented. The paper describes the platform in detail, with a particular focus given to the design of a novel and compact wireless sub-system for 868 MHz wristwatch applications. An example application using the developed platform is discussed for arterial oxygen saturation (SpO2) and heart rate measurement using optical photoplethysmography (PPG). A comparison of the wireless performance in the 868 MHz and the 2.45 GHz bands is performed. Another contribution of this work is the development of a highly integrated 868 MHz antenna. The antenna structure is printed on the surface of a wristwatch enclosure using laser direct structuring (LDS) technology. At 868 MHz, a low specific absorption rate (SAR) of less than 0.1% of the maximum permissible limit in the simulation is demonstrated. The measured on-body prototype antenna exhibits a −10 dB impedance bandwidth of 36 MHz, a peak realized gain of −4.86 dBi and a radiation efficiency of 14.53% at 868 MHz. To evaluate the performance of the developed 868 MHz sensor platform, the wireless communication range measurements are performed in an indoor environment and compared with a commercial Bluetooth wristwatch device.

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“…Adolfo Di Serio, John Buckley, John Barton, Robert Newberry, Matthew Rodencal, Gary Dunlop 3 and Brendan O'Flynn in reference study [19], use the Zigbee to sending a heart rate data (BPM) and arterial Oxygen saturation (SpO2) data. ZigBee works on the 2.4 GHz frequency, but several other Wireless Sensor Network (WSN) devices have lower frequencies, for example the ISM Band 915 MHz frequency.…”

Section: Related Studiesmentioning

confidence: 99%

ZigBee Radio Frequency (RF) Performance on Raspberry Pi 3 for Internet of Things (IoT) based Blood Pressure Sensors Monitoring

Adi¹,

Kitagawa²

2019

IJACSA

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Wireless Sensor Network has grown rapidly, e.g. using the Zigbee RF module and combined with the Raspberry Pi 3, a reason at this research is building a Wireless Sensor Network (WSN). this research discusses how sensor nodes work well and how Quality of Service (QoS) from the Sensor node being analyzed and the role of Raspberry Pi 3 as an internet gateway will sending a blood pressure data to the database and displayed in real-time on the internet, from this research it is expected that patients can check the blood pressure from home and don't need to the Hospital even data can be quickly and accurately received by Hospital Officers, doctors, and medical personnel. the purpose of this research is make a prototype to providing a blood pressure (mmHg) real-time data from systolic and diastolic data patient's that determine patients suffering from symptoms of certain diseases, i.e, anemia, symptoms of hypertension and even more chronic diseases. this research discusses how sensor nodes work well and how Quality of Service (QoS) from the Sensor node being analyzed and the role of Raspberry Pi 3 as an internet gateway will sending a blood pressure data to the database and displayed in real-time on the internet. Furthermore, Zigbee has the task of sending Blood pressure (mmHg) data in real-time to the database and then sent to the internet from Zigbee end-device communication to ZigBee coordinator. Zigbee communication at a distance of 5 meters, RSSI simulations show a value of -29 dBm and the experiment shows a value of -40 dBm, at a distance of 100 m, RSSI shows a value of -55 dBm (simulation) and -86 dBm (experiment).

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Potential of Sub-GHz Wireless for Future IoT Wearables and Design of Compact 915 MHz Antenna

Cited by 24 publications

References 27 publications

Tracking and Monitoring System Based on LoRa Technology for Lightweight Boats

Tracking and Monitoring System Based on LoRa Technology for Lightweight Boats

A Wristwatch-Based Wireless Sensor Platform for IoT Health Monitoring Applications

ZigBee Radio Frequency (RF) Performance on Raspberry Pi 3 for Internet of Things (IoT) based Blood Pressure Sensors Monitoring

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