A Self-Powered 3.26-$\mu {\text{W 70}}$-m Wireless Temperature Sensor Node for Power Grid Monitoring

2018 ◽  
Vol 65 (11) ◽  
pp. 8956-8965 ◽  
Author(s):  
Mingyi Chen ◽  
Min Wang ◽  
Hengwei Yu ◽  
Guanghui He ◽  
Yongxin Zhu ◽  
...  
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jorge Elizalde ◽  
Cristina Cruces ◽  
Michael Stiven Sandoval ◽  
Xabier Eguiluz ◽  
Inaki Val

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo

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.


Author(s):  
Phan Dang Hung ◽  
Yechan Park ◽  
Soon-Jae Kweon ◽  
Taeju Lee ◽  
Hyuntak Jeon ◽  
...  

2019 ◽  
Vol 11 ◽  
pp. 175682931987005
Author(s):  
Jose Polo ◽  
Lluís Hontecillas ◽  
Ignacio Izquierdo ◽  
Oscar Casas

The aim of this work is to demonstrate the feasibility use of an Micro air vehicles (MAV) in order to power wirelessly an electric system, for example, a sensor network, using low-cost and open-source elements. To achieve this objective, an inductive system has been modelled and validated to power wirelessly a sensor node using a Crazyflie 2.0 as MAV. The design of the inductive system must be small and light enough to fulfil the requirements of the Crazyflie. An inductive model based on two resonant coils is presented. Several coils are defined to be tested using the most suitable resonant configuration. Measurements are performed to validate the model and to select the most suitable coil. While attempting to minimize the weight at transmitter’s side, on the receiver side it is intended to efficiently acquire and manage the power obtained from the transmitter. In order to prove its feasibility, a temperature sensor node is used as demonstrator. The experiment results show successfully energy transportation by MAV, and wireless power transfer for the resonant configuration, being able to completely charge the node battery and to power the temperature sensor.


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