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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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We propose JAM-ME, an autonomous jamming-assisted navigation system that allows a drone to accomplish its mission even in the presence of an anti-drone jamming protection system. In this contribution, we review the current state-of-the-art highlighting how current solutions to respond to drones are completely ineffective against JAM-ME. In particular, we introduce our solution and its theoretical framework, and later we relax a few constraints of the baseline model (adding wind drift, and allowing the target to be randomly placed within the jammed area). Moreover, we run extensive simulations that do support our findings: even under the combined action of jamming and wind drift, the drone can reach a target randomly deployed in the jamming area-any other drone, under the same conditions, would have simply failed. As per the overhead, under very conservative assumptions, JAM-ME experiences an average overhead of 70%; however, note that such overhead can be reduced by at least a tenfold factor in practical settings-discussed in the paper. Finally, we highlight the intrinsic limitations of our solution, potential countermeasures, and new jamming strategies that can pave the way to further research.