Public lighting accounts for a considerable amount of the total electricity consumption. Solutions to reduce its energy (and cost) footprint do exists, and they often translate into costly lamp replacement projects, which cannot be afforded by the majority of municipalities. To solve this situation, we propose Aurora: a low-budget, easy-to-deploy IoT control system that exploits the ubiquity of cellular networks (2- 4G) and scalable Cloud computing architectures to allow Smart Cities to save on the public lighting electrical bill. We deploy Aurora in a mid-size Italian municipality and we evaluate its performance over 4 months to quantify both the power and the economic saving achieved by our solution. We estimate the impact of a city-level Aurora installation and further extend the benefit analysis to most populated EU countries.

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This paper describes the work performed in the design of a network-based positioning system exploiting the advantages of the European Geostationary Navigation Overlay System (EGNOS) tailored to support operation of Alpine Rescue Teams in the management of search and rescue operations. The positioning system is based on the raw pseudorange measurements collected by the users and transmitted to a Local Element over cellular or VHF radio channels. This latter exploits frequencies reserved for rescue teams and ensures good coverage in mountain environments. The results demonstrate that the system fully exploits the improvement given by the EGNOS signals, ensuring a suitable level of accuracy in the positioning for a larger time with respect to standalone GPS positioning.

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