Low-power wireless sensor with SNAP and IEEE 1451 protocol

Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by excessive signal processing in a mini-electronic computing system. In this sense, it is essential not only to integrate the sensor system with energy-harvesting devices but also to develop simple data processing methods for low power schemes. In this paper, we report a patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique for self-sustainable operation. The PVV sensor system composed of a polyethylene terephthalate (PET)/Al/LCD screen directly converts the triboelectric signal into an informative black pattern on the LCD screen without excessive signal processing, enabling extremely low power operation. In addition, a proposed image processing method reconverts the black patterns to frequency and acceleration values through a remote-control camera. With these simple signal-to-pattern conversion and pattern-to-data reconversion techniques, a vibration visualization sensor network has successfully been demonstrated.

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A Low Power AC/DC Interface for Wind-Powered Sensor Nodes

Energies ◽

10.3390/en14071823 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1823

Author(s):

Mohammad Haidar ◽

Hussein Chible ◽

Corrado Boragno ◽

Daniele D. Caviglia

Keyword(s):

Low Power ◽

Power Supply ◽

Energy Harvester ◽

Optimization Techniques ◽

Sensor Nodes ◽

Wireless Sensor ◽

Constant Voltage ◽

Interface Circuit ◽

Switching Converter ◽

Input Signals

Sensor nodes have been assigned a lot of tasks in a connected environment that is growing rapidly. The power supply remains a challenge that is not answered convincingly. Energy harvesting is an emerging solution that is being studied to integrate in low power applications such as internet of things (IoT) and wireless sensor networks (WSN). In this work an interface circuit for a novel fluttering wind energy harvester is presented. The system consists of a switching converter controlled by a low power microcontroller. Optimization techniques on the hardware and software level have been implemented, and a prototype is developed for testing. Experiments have been done with generated input signals resulting in up to 67% efficiency for a constant voltage input. Other experiments were conducted in a wind tunnel that showed a transient output that is compatible with the target applications.

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A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

Wireless Communications and Mobile Computing ◽

10.1155/2019/8986302 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

Daniel Ayala-Ruiz ◽

Alejandro Castillo Atoche ◽

Erica Ruiz-Ibarra ◽

Edith Osorio de la Rosa ◽

Javier Vázquez Castillo

Keyword(s):

Energy Harvesting ◽

Low Power ◽

Sensor Node ◽

Smart Cities ◽

Cloud Services ◽

Environmental Data ◽

Security And Privacy ◽

Wireless Sensor ◽

Ultra Low Power ◽

Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

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