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Sensors 2014, 14(12), 22372-22393; doi:10.3390/s141222372

A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation

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.
*
Author to whom correspondence should be addressed.
Received: 3 October 2014 / Revised: 12 November 2014 / Accepted: 19 November 2014 / Published: 25 November 2014
(This article belongs to the Special Issue Sensors and Smart Cities)

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 (ABC&S) paradigm. View Full-Text
Keywords: Internet of Things (IoT); smart cities; Always Best Connected and best Served (ABC&S); 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
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ji, Z.; Ganchev, I.; O'Droma, M.; Zhao, L.; Zhang, X. A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation. Sensors 2014, 14, 22372-22393.

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