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Title: Towards an Off-the-cloud IoT data processing Architecture via a Smart Car Parking Example
Authors: Alturki, Badraddin
Reiff-Marganiec, Stephan
First Published: 2017
Presented at: ICC 2017
Start Date: 21-May-2017
End Date: 25-May-2017
Publisher: ACM
Citation: ICC '17 Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017, Article No. 37
Abstract: Nowadays, it is obvious that technology has revolutionised our lives by supporting us to do complicated jobs. The Internet of Things (IoT) is one of the emerging technologies. One of the most significant current research topics in the IoT is smart city. The smart city includes several applications such assmart home, smart industry and smart mobility. The smart car parking system is an aspect of smart mobility and an important application in smart city projects, because of the rapidly increasing number of cars in urban areas. However, most of the current proposals in smart car parking systems manage the data on the cloud side which is a problem since the system needs to send the raw data from sensor to cloud and receive instructions back: this is expensive in terms of energy and data transmission cost. To tackle this issue we present a proposal to save energy and to reduce the amount of data that is transmitted over the network to cloud by processing closer to source in this paper. The architecture is demonstrated through a case study.
DOI Link: 10.1145/3018896.3018932
ISBN: 978-1-4503-4774-7
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2017, ACM. Deposited with reference to the publisher’s open access archiving policy. (
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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