Nowadays, Internet of things (IoT) and robotic systems are key drivers of technological innovation trends. Leveraging the advantages of both technologies, IoT-aided robotic systems can disclose a disruptive potential of opportunities The present contribution provides an experimental analysis of an IoT-aided robotic system for environmental monitoring. To this end, an experimental testbed has been developed. It is composed of: (i) an IoT device connected to (ii) an unmanned aerial vehicle (UAV) which executes a patrolling mission within a specified area, where (iii) an IoT network has been deployed to sense environmental data. An extensive experimental campaign has been carried out to scavenge pros and cons of adopted technologies. The key results of the authors analysis show that: (i) the UAV does not incur any significant overhead due to onboard IoT equipment and (ii) the overall quality of service expressed in terms of network joining time, data retrieval delay and packet loss ratio satisfies the mission requirements. These results enable further development in larger-scale environment.
The Internet of Things (IoT) represents the enabling paradigm of a huge number of smart applications, spanning from short‐range communications to Low‐Power Wide‐Area Network (LPWAN). Among them, environmental monitoring becomes more and more challenging as the area of interest is difficult to reach. The present contribution proposes WaterS, an open‐source project that relies on low‐cost and rapid‐prototyping technologies. It tackles the main challenges of remote water quality monitoring systems taking advantage of the Sigfox protocol stack. The realized experimental setup is able to gather geo‐referenced water quality measurements. Finally, it successfully addresses self‐sufficiency thanks to solar energy harvesting.
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