Clock adjustment for a low power listening wireless infrastructure monitoring system

Author(s):  
Yasutaka Kawamoto ◽  
Toshihiko Matsunaga ◽  
Yuichi Kado
2021 ◽  
Vol 55 ◽  
pp. 1783-1790
Author(s):  
Roberto Savi ◽  
Alessandro Valletta ◽  
Andrea Carri ◽  
Edoardo Cavalca ◽  
Andrea Segalini

2020 ◽  
Vol 10 (2) ◽  
pp. 15 ◽  
Author(s):  
Mattia Ragnoli ◽  
Gianluca Barile ◽  
Alfiero Leoni ◽  
Giuseppe Ferri ◽  
Vincenzo Stornelli

The development of Internet of Things (IoT) systems is a rapidly evolving scenario, thanks also to newly available low-power wide area network (LPWAN) technologies that are utilized for environmental monitoring purposes and to prevent potentially dangerous situations with smaller and less expensive physical structures. This paper presents the design, implementation and test results of a flood-monitoring system based on LoRa technology, tested in a real-world scenario. The entire system is designed in a modular perspective, in order to have the capability to interface different types of sensors without the need for making significant hardware changes to the proposed node architecture. The information is stored through a device equipped with sensors and a microcontroller, connected to a LoRa wireless module for sending data, which are then processed and stored through a web structure where the alarm function is implemented in case of flooding.


Author(s):  
Dipal Halder ◽  
Fathi Amsaad ◽  
Nicolas Fourty ◽  
Brian Hildebrand

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