Exportar Publicação
A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.
Ferreira, J. C. & Martins, A. L. (2017). Ad hoc IoT approach for monitoring parking control process. In Cesar Analide, Pankoo Kim (Ed.), 13th International Conference on Intelligent Environments. (pp. 113-121). Seoul: IOS Press.
J. C. Ferreira and A. L. Martins, "Ad hoc IoT approach for monitoring parking control process", in 13th Int. Conf. on Intelligent Environments, Cesar Analide, Pankoo Kim, Ed., Seoul, IOS Press, 2017, vol. 22, pp. 113-121
@inproceedings{ferreira2017_1734529549663, author = "Ferreira, J. C. and Martins, A. L.", title = "Ad hoc IoT approach for monitoring parking control process", booktitle = "13th International Conference on Intelligent Environments", year = "2017", editor = " Cesar Analide, Pankoo Kim", volume = "22", number = "", series = "", doi = "10.3233/978-1-61499-796-2-113", pages = "113-121", publisher = "IOS Press", address = "Seoul", organization = "", url = "http://ebooks.iospress.nl/volumearticle/47221" }
TY - CPAPER TI - Ad hoc IoT approach for monitoring parking control process T2 - 13th International Conference on Intelligent Environments VL - 22 AU - Ferreira, J. C. AU - Martins, A. L. PY - 2017 SP - 113-121 DO - 10.3233/978-1-61499-796-2-113 CY - Seoul UR - http://ebooks.iospress.nl/volumearticle/47221 AB - The purpose of this research is to develop a collaborative approach to control the parking in a city using IoT (Internet of Things). This approach is based on Bluetooth Low Energy (BLE) beacons to control the parking process without having to investment in sensors. Parking violations can be easily detected through the proposed collaborative process among user's mobile devices. A reward mechanism incentives users' participation. This approach uses an ad hoc network of users who send information to a central system regarding georeferenced beacon information. Comparing with previous payments associated with a vehicle, the approach can identify parking violations, e.g. parking without associated payment. ER -