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Wireless Multi-Sensor Networks for Smart Cities: A Prototype System With Statistical Data Analysis
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DOI：10.1109/JSEN.2017.2736785.png)
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Abstract
En 中文
As urbanization proceeds at an astonishing rate, cities have to continuously improve their solutions that affect the safety, health, and overall well-being of their residents. Smart city projects worldwide build on advanced sensor, information, and communication technologies to help dealing with issues like air pollution, waste management, traffic optimization, and energy efficiency. The paper reports about the prototype of a smart city initiative in Budapest, which applies various sensors installed on the public lighting system and a cloud-based analytical module. While the installed wireless multi-sensor network gathers information about a number of stressors, the module integrates and statistically processes the data. The module can handle inconsistent, missing, and noisy data and can extrapolate the measurements in time and space, namely, it can create short-term forecasts and smoothed maps, both accompanied by reliability estimates. The resulting database uses geometric representations and can serve as an information centre for public services.
Keywords:
Wireless sensor networks
databases
signal analysis
statistical learning
forecasting
extrapolation
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