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Open AccessArticle

An Efficient Interactive Model for On-Demand Sensing-As-A-Servicesof Sensor-Cloud

School of Electronic Engineering, Soongsil University, Room 1104, Huyngam Engineering Building 424, Sangdo-dong, Dongjak-Gu, Seoul 06978, Korea
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Academic Editors: Ingrid Moerman, Jeroen Hoebeke and Eli De Poorter
Sensors 2016, 16(7), 992; https://doi.org/10.3390/s16070992
Received: 9 May 2016 / Revised: 17 June 2016 / Accepted: 17 June 2016 / Published: 28 June 2016
(This article belongs to the Special Issue Intelligent Internet of Things (IoT) Networks)
This paper proposes an efficient interactive model for the sensor-cloud to enable the sensor-cloud to efficiently provide on-demand sensing services for multiple applications with different requirements at the same time. The interactive model is designed for both the cloud and sensor nodes to optimize the resource consumption of physical sensors, as well as the bandwidth consumption of sensing traffic. In the model, the sensor-cloud plays a key role in aggregating application requests to minimize the workloads required for constrained physical nodes while guaranteeing that the requirements of all applications are satisfied. Physical sensor nodes perform their sensing under the guidance of the sensor-cloud. Based on the interactions with the sensor-cloud, physical sensor nodes adapt their scheduling accordingly to minimize their energy consumption. Comprehensive experimental results show that our proposed system achieves a significant improvement in terms of the energy consumption of physical sensors, the bandwidth consumption from the sink node to the sensor-cloud, the packet delivery latency, reliability and scalability, compared to current approaches. Based on the obtained results, we discuss the economical benefits and how the proposed system enables a win-win model in the sensor-cloud. View Full-Text
Keywords: efficient interactive model; sensor-cloud; IoT cloud; sensing-as-a-service; multiple applications efficient interactive model; sensor-cloud; IoT cloud; sensing-as-a-service; multiple applications
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Dinh, T.; Kim, Y. An Efficient Interactive Model for On-Demand Sensing-As-A-Servicesof Sensor-Cloud. Sensors 2016, 16, 992.

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