A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and ImplementationReport as inadecuate




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1

Telecommunications Research Centre, University of Limerick, Limerick, Ireland

2

Research Institute of Information Technology, Tsinghua University, Beijing 100080, China

3

Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing 100080, China



These authors contributed equally to this work.





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Abstract 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 ABCandS paradigm. View Full-Text

Keywords: Internet of Things IoT; smart cities; Always Best Connected and best Served ABCandS; Intelligent Transport Systems ITS; car parking; middleware; Hadoop Internet of Things IoT; smart cities; Always Best Connected and best Served ABC&S; Intelligent Transport Systems ITS; car parking; middleware; Hadoop





Author: Zhanlin Ji 1, Ivan Ganchev 1,* , Máirtín ODroma 1,†, Li Zhao 2,† and Xueji Zhang 3,†

Source: http://mdpi.com/



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