期刊
IEEE SENSORS JOURNAL
卷 17, 期 23, 页码 7667-7676出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2017.2736785
关键词
Wireless sensor networks; databases; signal analysis; statistical learning; forecasting; extrapolation
资金
- National Research Development and Innovation Office [ERNYO_13_1_2013-0011]
- MTA SZTAKI
- Janos Bolyai Research Fellowship of the Hungarian Academy of Sciences [BO/00217/16/6]
- [GINOP-2.3.2-15-2016-00002]
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.
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