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A cloud-based car parking middleware for IoT-based smart cities: design and implementation

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posted on 2014-12-22, 16:11 authored by Zhanlin Ji, Ivan Ganchev, Máirtín Ó'Droma, Li Zhao, Xuegi Zhang
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.

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Publication

Sensors;14, pp. 22372-22393

Publisher

MDPI

Note

peer-reviewed

Language

English

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