A low-power IoT framework: From sensors to the cloud

Laubhan, Kevin; Talaat, Khaled; Riehl, Sarah; Aman, Sayedul; Abdelgawad, Ahmed; Yelamarthi, Kumar

doi:10.1109/eit.2016.7535315

Cited by 19 publications

(10 citation statements)

References 14 publications

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“…These, as well as cross-application with supporting technologies [15] – [17] helps to generate a range of novel medical applications [18] including imaging [19] – [21] and object detection [22] that address growing societal needs for early cancer detection and developing world healthcare solutions. A key to new remote healthcare devices is in addressing real-world issues with power [23] – [29] .…”

Section: Introductionmentioning

confidence: 99%

A Community-Based IoT Personalized Wireless Healthcare Solution Trial

Catherwood

Steele

Little³

et al. 2018

IEEE J. Transl. Eng. Health Med.

118

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This paper presents an advanced Internet of Things point-of-care bio-fluid analyzer; a LoRa/Bluetooth-enabled electronic reader for biomedical strip-based diagnostics system for personalized monitoring. We undertake test simulations (technology trial without patient subjects) to demonstrate potential of long-range analysis, using a disposable test ‘key’ and companion Android app to form a diagnostic platform suitable for remote point-of-care screening for urinary tract infection (UTI). The 868 MHz LoRaWAN-enabled personalized monitor demonstrated sound potential with UTI test results being correctly diagnosed and transmitted to a remote secure cloud server in every case. Tests ranged over distances of 1.1–6.0 Km with radio path losses from 119–141 dB. All tests conducted were correctly and robustly received at the base station and relayed to the secure server for inspection. The UTI test strips were visually inspected for correct diagnosis based on color change and verified as 100% accurate. Results from testing across a number of regions indicate that such an Internet of Things medical solution is a robust and simple way to deliver next generation community-based smart diagnostics and disease management to best benefit patients and clinical staff alike. This significant step can be applied to any type of home or region, particularly those lacking suitable mobile signals, broadband connections, or even landlines. It brings subscription-free long-range bio-telemetry to healthcare providers and offers savings on regular clinician home visits or frequent clinic visits by the chronically ill. This paper highlights practical hurdles in establishing an Internet of Medical Things network, assisting informed deployment of similar future systems.

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Section: Introductionmentioning

confidence: 99%

A Community-Based IoT Personalized Wireless Healthcare Solution Trial

Catherwood

Steele

Little³

et al. 2018

IEEE J. Transl. Eng. Health Med.

118

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“…Kassal et al demonstrate the development and characterization of an ultra-low-power radio-frequency identification sensor tag for use in IoT based applications [220]. Laubhan et al proposed the implementation of a low-power IoT wireless sensor network for the detection of motion, humidity and temperature [221]. Kuo et al presented a design of a low-power and longrange sensor node for the next generation IoT platform [222].…”

Section: Low-power Sensors For Internet Of Thingsmentioning

confidence: 99%

Nanotechnology for Biosensors: A Review

Banerjee

Maity²,

Mastrangelo³

2021

Preprint

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Biosensors are essential tools which have been traditionally used to monitor environmental pollution, detect the presence of toxic elements and biohazardous bacteria or virus in organic matter and biomolecules for clinical diagnostics. In the last couple of decades, the scientific community has witnessed their widespread application in the fields of military, health care, industrial process control, environmental monitoring, food-quality control, and microbiology. Biosensor technology has greatly evolved from the in vitro studies based on the biosensing ability of organic beings to the highly sophisticated world of nanofabrication enabled miniaturized biosensors. The incorporation of nanotechnology in the vast field of biosensing has led to the development of novel sensors and sensing mechanisms, as well as an increase in the sensitivity and performance of the existing biosensors. Additionally, the nanoscale dimension further assists the development of sensors for rapid and simple detection in vivo as well as the ability to probe single-biomolecules and obtain critical information for their detection and analysis. However, the major drawbacks of this include, but are not limited to potential toxicities associated with the unavoidable release of nanoparticles into the environment, miniaturization induced unreliability, lack of automation, and difficulty of integrating the nanostructured-based biosensors as well as unreliable transduction signals from these devices. Although the field of biosensors is vast, we intend to explore various nanotechnology enabled biosensors as part of this review article and provide a brief description of their fundamental working principles and potential applications.

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“…The IoT framework proposed by Laubhan consists of multiple sensor nodes which collect data from the sensors and sends them wirelessly to a regional hub which acts as a local analytic engine [15]. Raspberry Pi 2 was used as the regional hub.…”

Section: Related Workmentioning

confidence: 99%

FPGA-based embedded architecture for IoT home automation application

Ooi

Tan

Cheong

et al. 2019

IJEECS

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<span>An Internet of Things (IoT) FPGA-based home hub to automate control operations in a home environment was designed and built. The proposed system uses an FPGA home hub as its local analytic engine with an IoT platform to store the sensory data. The FPGA was programmed in Verilog HDL using Quartus II provided by Altera. The WiFi capability of the FPGA was extended through an ESP8266 chip to ease the interfacing with various sensors connected to it. The system can be configured and monitored through a web application coded in JavaScript. Various test cases were carried out on the implemented system at Multimedia University (MMU) Digital Home Lab. The results verified the functionality of the system in triggering real home appliances (i.e. air conditioning unit and lighting) based on multiple sensor nodes without conflicting each other. The ability to allow user to configure the control rules based on the sensory data via web interface hosted using ThingSpeak Plugins is also presented and demonstrated in this project. The base design is utilizing Altera Cyclone IV EP4CE22F17C6N FPGA with 153 I/O pins, which is highly scalable and adaptable to the requirements of home environments. This shows promising application of FPGA in supporting scalable IoT home automation system.</span>

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A low-power IoT framework: From sensors to the cloud

Cited by 19 publications

References 14 publications

A Community-Based IoT Personalized Wireless Healthcare Solution Trial

A Community-Based IoT Personalized Wireless Healthcare Solution Trial

Nanotechnology for Biosensors: A Review

FPGA-based embedded architecture for IoT home automation application

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