title: A Location-Based Interactive Model of Internet of Things and Cloud (IoT-Cloud) for Mobile Cloud Computing Applications.
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.
authors.affiliation: School of Electronic Engineering, Soongsil University, Seoul 06978, Korea. thanhdcn@dcn.ssu.ac.kr.|Proceedings of the 8th IEEE International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, 5-8 July 2016. thanhdcn@dcn.ssu.ac.kr.
authors.forename: Thanh
authors.initials: T
authors.lastname: Dinh
authors.affiliation: School of Electronic Engineering, Soongsil University, Seoul 06978, Korea. thanhdcn@dcn.ssu.ac.kr.|Proceedings of the 8th IEEE International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, 5-8 July 2016. thanhdcn@dcn.ssu.ac.kr.
authors.forename: Younghan
authors.initials: Y
authors.lastname: Kim
authors.affiliation: Department of Computer Engineering, Kwangwoon University, Seoul 01897, Korea. hlee@kw.ac.kr.|Proceedings of the 8th IEEE International Conference on Ubiquitous and Future Networks (ICUFN 2016), Vienna, Austria, 5-8 July 2016. hlee@kw.ac.kr.
authors.forename: Hyukjoon
authors.initials: H
authors.lastname: Lee
keywords: IoT cloud; location interactive model; multiple applications; sensing as a service; sensor cloud