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Sensors 2017, 17(3), 489; doi:10.3390/s17030489

A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications

1
School of Electronic Engineering, Soongsil University, Seoul 06978, Korea
2
Department of Computer Engineering, Kwangwoon University, Seoul 01897, Korea
3
Proceedings of the 8th IEEE International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, 5–8 July 2016
*
Author to whom correspondence should be addressed.
Academic Editors: Sungrae Cho, Takeo Fujii and Joon-Sang Park
Received: 2 January 2017 / Revised: 18 February 2017 / Accepted: 24 February 2017 / Published: 1 March 2017
View Full-Text   |   Download PDF [444 KB, uploaded 2 March 2017]   |  

Abstract

This paper presents a location-based interactive model of Internet of Things (IoT) and cloud integration (IoT-cloud) for mobile cloud computing applications, in comparison with the periodic sensing model. In the latter, sensing collections are performed without awareness of sensing demands. Sensors are required to report their sensing data periodically regardless of whether or not there are demands for their sensing services. This leads to unnecessary energy loss due to redundant transmission. In the proposed model, IoT-cloud provides sensing services on demand based on interest and location of mobile users. By taking advantages of the cloud as a coordinator, sensing scheduling of sensors is controlled by the cloud, which knows when and where mobile users request for sensing services. Therefore, when there is no demand, sensors are put into an inactive mode to save energy. Through extensive analysis and experimental results, we show that the location-based model achieves a significant improvement in terms of network lifetime compared to the periodic model. View Full-Text
Keywords: location interactive model; sensor cloud; IoT cloud; sensing as a service; multiple applications location interactive model; sensor cloud; IoT cloud; sensing as a service; multiple applications
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Dinh, T.; Kim, Y.; Lee, H. A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications. Sensors 2017, 17, 489.

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