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.
Low-Power Wide Area Networks (LPWANs) are gaining momentum within Internet of Things (IoT) circles, thanks to their inherent capabilities to simplify network topologies and increase coverage in low rate low power communications. This manuscript focuses on a specific LPWAN technology, namely Long Range Wireless Area Network (LoRaWAN), which is being widely investigated by the research community worldwide. LoRaWAN offers many noticeable features, including: wide coverage areas, security by design, power consumption and bandwidth optimization, and a high degree of flexibility and reconfigurability. Unfortunately, in spite of these valuable characteristics, LoRaWAN appliances are often closed source and proprietary. To bridge the gap, this manuscript proposes a prototype, which has been designed and set up using open low-cost experimental boards and programming tools, only. Moreover, an experimental campaign has been carried out in order to demonstrate the effectiveness of the developed platform.
Safety is a leading theme in industrial applications such as constructions sites and production chains. Several solutions are already in use to protect workers from structural failures or traumatic events. These work instruments have proven their effectiveness, lowering the potentially hurtful, if not fatal, consequences of accidents on workplaces. In this context, the Industrial Internet of Things (IIoT) paradigm can boost the development of smart wearable systems that do not impede movements and/or operations. This work proposes Smart helmet for Advanced Factory Environment (SAFE), an autonomous and integrated wearable IIoT device. With the help of integrated sensors, SAFE is able to perform continuous monitoring activities of the worker and to promptly send alerts in case of alarms and/or accidents.
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