Next Article in Journal
Positional Quality Assessment of Orthophotos Obtained from Sensors Onboard Multi-Rotor UAV Platforms
Next Article in Special Issue
Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities
Previous Article in Journal
Performance Improvement in Geographic Routing for Vehicular Ad Hoc Networks
Previous Article in Special Issue
A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps
Open AccessArticle

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

by Zhanlin Ji 1, Ivan Ganchev 1,*, Máirtín O'Droma 1,†, Li Zhao 2,† and Xueji Zhang 3,†
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
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2014, 14(12), 22372-22393; https://doi.org/10.3390/s141222372
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)
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
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.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop