A LoRa-based Energy-efficient Sensing System for Urban Data Collection
Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno

TL;DR
This paper introduces a privacy-preserving, energy-efficient LoRa-based sensing system for urban data collection, capable of monitoring public space utilization and environmental factors over a city-wide network, demonstrated through a two-month trial.
Contribution
It presents a novel low-power, privacy-preserving sensor system utilizing LoRaWAN for urban data collection, with successful deployment and open data sharing.
Findings
Achieved continuous 2-month operation with 33.65 mWh/day energy consumption.
Successfully monitored seating occupancy, noise, temperature, and humidity.
Validated system's practicality through deployment in two public squares.
Abstract
Nowadays, cities provide much more than shopping opportunities or working spaces. Individual locations such as parks and squares are used as meeting points and local recreation areas by many people. To ensure that they remain attractive in the future, the design of such squares must be regularly adapted to the needs of the public. These utilization trends can be derived using public data collection. The more diverse and rich the data sets are, the easier it is to optimize public space design through data analysis. Traditional data collection methods such as questionnaires, observations, or videos are either labor intensive or cannot guarantee to preserve the individual's privacy. This work presents a privacy-preserving, low-power, and low-cost smart sensing system that is capable of anonymously collecting data about public space utilization by analyzing the occupancy distribution of…
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