Design of Ultra-Low-Energy Temperature and Humidity Sensor Based on nRF24 Wireless Technology

Babušiak, Branko; Šmondrk, Maroš; Borik, Štefan

doi:10.1109/tsp.2019.8768890

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…Analyse to alert of potential hazards or violate action made by drivers [38] Temperature and humidity sensing Analyse to evaluate the power efficiency and reliability of communication [39] Multipurpose wireless sensing Analyse different approach contexts for possible long operation [40] Wireless control car movement Analyse to improve the efficiency of transportation through wireless communication [41] Data collection box tool…”

Section: Related Workmentioning

confidence: 99%

Comparative performance study of HC-12, nRF24L01, and XBee for vehicular communication

Yogarayan

Razak

Abdullah

et al. 2023

IJ-ICT

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In recent times, the volume of traffic congestion has been rapidly growing on roads. These days the necessity of having safe transportation and journey is essential. Thus, vehicle communication could be a possible solution to enhance safe transit. Vehicular communications provide a wide range of applications with different characteristics, namely vehicle and vehicle (V2V) communications. Every year, traffic accidents kill many people worldwide, and many people have been injured. V2V communication enables vehicles to communicate with each other to provide safety and convenience to drivers. Therefore, this paper explores a direction to develop a conceptual approach to V2V communication with HC-12, nRF24L01, and XBee. The study aims to analyse and evaluate the communication range that may contribute to the future road transportation system.

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Section: Related Workmentioning

confidence: 99%

Comparative performance study of HC-12, nRF24L01, and XBee for vehicular communication

Yogarayan

Razak

Abdullah

et al. 2023

IJ-ICT

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“…All the three levels of the interconnected network will have the following design as their main circuitry. The structure of this circuit was designed to be both practical and compact in size [9], [26]- [28], [30], [31], [40]- [43].…”

Section: Figure 1 Network Topologymentioning

confidence: 99%

Implementation Of Active RFIDs In Inventory Systems

Soltanirad

Ahmad

Hoon

et al. 2022

J. Phys.: Conf. Ser.

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The commoditization of integrated circuits has revolutionized the world of IoT based networks. Supply chain management relies heavily on the application of passive RFID tags for inventory management. However, this technology is outdated and does not provide real-time monitoring for warehouse administration. Moreover, due to the high error rate of traditional passive RFIDs, active RFIDs are graded higher in terms of operational efficiency. The biggest challenge in the deployment of active RFIDs in inventory systems is high power consumption. The passive RFIDs were favored due to their lack of dependency on an internal power supply. The inception of low power long range radio modules has fully transformed the range of applications for active RFIDs. The long range low power active RFIDs are used to develop IoT ecosystems for the purpose of creating a smart supply chain management system. In this research, the hierarchical wireless mesh network consists of three levels; the end node, the concentrator and the gateway. The model takes advantage of low power long range radios to design a system that can monitor and track inventory in a warehouse. The unique circuit has small and compact properties that has the potential to be deployed in real life warehouses.

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“…Coming back to the overview on energy-efficient sensor nodes, we found that the majority focuses on using (ultra) low-power components in their design [72,[89][90][91]93]. Some authors additionally took the passive hardware components required for proper functioning into their considerations [72,91].…”

Section: Energy-efficient Sensor Nodesmentioning

confidence: 99%

“…Some authors additionally took the passive hardware components required for proper functioning into their considerations [72,91]. Surprisingly, the majority of nodes found use linear voltage regulators [76,78,79,[82][83][84]87,88,94] or even no regulation at all [72,73,75,80,86,[91][92][93] instead of low-power DC/DC converters [54,74,77,81,85]. Especially if the battery is directly connected to the hardware components' supply rail unintended effects (including soft faults) can easily happen at the end of the battery life due to a (passive) undervolting of the components ( [7,64]).…”

Section: Energy-efficient Sensor Nodesmentioning

confidence: 99%

“…Especially if the battery is directly connected to the hardware components' supply rail unintended effects (including soft faults) can easily happen at the end of the battery life due to a (passive) undervolting of the components ( [7,64]). Also, the operating frequency of the MCU has only been discussed in a minor number of designs [72,83,84,92,93] by keeping the frequency as low as possible. Enhanced energy-saving approaches such as DVS (or active undervolting) were only considered in [64] (a possible explanation follows in Section 3.2.2).…”

Section: Energy-efficient Sensor Nodesmentioning

confidence: 99%

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An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

Widhalm

Goeschka

Kästner

2021

Sensors

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In wireless sensor networks, the quality of the provided data is influenced by the properties of the sensor nodes. Often deployed in large numbers, they usually consist of low-cost components where failures are the norm, even more so in harsh outdoor environments. Current fault detection techniques, however, consider the sensor data alone and neglect vital information from the nodes’ hard- and software. As a consequence, they can not distinguish between rare data anomalies caused by proper events in the sensed data on one side and fault-induced data distortion on the other side. In this paper, we contribute with a novel, open-source sensor node platform for monitoring applications such as environmental monitoring. For long battery life, it comprises mainly low-power components. In contrast to other sensor nodes, our platform provides self-diagnostic measures to enable active node-level reliability. The entire sensor node platform including the hardware and software components has been implemented and is publicly available and free to use for everyone. Based on an extensive and long-running practical experiment setup, we show that the detectability of node faults is improved and the distinction between rare but proper events and fault-induced data distortion is indeed possible. We also show that these measures have a negligible overhead on the node’s energy efficiency and hardware costs. This improves the overall reliability of wireless sensor networks with both, long battery life and high-quality data.

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Design of Ultra-Low-Energy Temperature and Humidity Sensor Based on nRF24 Wireless Technology

Cited by 8 publications

References 10 publications

Comparative performance study of HC-12, nRF24L01, and XBee for vehicular communication

Comparative performance study of HC-12, nRF24L01, and XBee for vehicular communication

Implementation Of Active RFIDs In Inventory Systems

An Open-Source Wireless Sensor Node Platform with Active Node-Level Reliability for Monitoring Applications

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