Sensors | |
A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation | |
Zhanlin Ji1  Ivan Ganchev1  Máirtín Oɽroma1  Li Zhao2  | |
[1] Telecommunications Research Centre, University of Limerick, Limerick, Ireland; E-Mails:;Research Institute of Information Technology, Tsinghua University, Beijing 100080, China; E-Mail: | |
关键词: Internet of Things (IoT); smart cities; Always Best Connected and best Served (ABC&S); Intelligent Transport Systems (ITS); car parking; middleware; Hadoop; | |
DOI : 10.3390/s141222372 | |
来源: mdpi | |
【 摘 要 】
This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide ‘best’ car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S) paradigm.
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190019496ZK.pdf | 3409KB | download |