Enabling Cloud Connectivity for Mobile Internet of Things Applications

Pereira, Pablo Puñal; Eliasson, Jens; Kyusakov, Rumen; Delsing, Jerker; Raayatinezhad, A.; Johansson, Morgan

doi:10.1109/sose.2013.33

Cited by 67 publications

(36 citation statements)

References 19 publications

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“…While mobile devices have been successfully applied in various areas and the internet connection has been propagated almost everywhere to facilitate a wide range of applications and services (Dinh et al, 2013;Pereira et al, 2013), therefore, a mobile learning environment based on such approach is then proposed in the next section.…”

Section: Discussionmentioning

confidence: 99%

A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics

Wongwatkit

Panjaburee

Srisawasdi

2017

IJMLO

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Abstract:With the benefits of personalised learning environment in providing individual learning guidance and of guided-inquiry approach for driving students to inquire knowledge in procedural way, this study developed a personalised learning support system, which was based on conceptual learning problems, learning styles, and current understanding information, to provide guided-inquiry learning activities for individual students. The effects of the developed system on secondary school students Physics learning performance and learning attitudes were investigated. It was found that the students significantly outperformed on the developed system and their learning attitudes were positive. While, they showed the need of learning Physics in real context by basing on the developed system. In light of the aforesaid, this paper extends the proposed instructional strategy and addresses the application proposal by using the mobile device through authentic Physics laboratory activities. Keywords: mastery learning; mobile learning; personalised learning environment; guided inquiry; science education; online adaptive learning; interactive learning environment; learning style; conceptual learning suggestion; learning diagnostics.Reference to this paper should be made as follows: Wongwatkit, C., Panjaburee, P. and Srisawasdi, N. (2017) 'A proposal to develop a guidedinquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics', Int. J. Mobile Learning and Organisation, Vol. 11

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Section: Discussionmentioning

confidence: 99%

A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics

Wongwatkit

Panjaburee

Srisawasdi

2017

IJMLO

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“…In [12] Pereira et al present a holistic network architecture for supporting mobility in IoT applications. This service-oriented architecture can be deployed on three levels: on the node itself (for resilience against lost Internet connectivity), on a SOAenabled gateway (when more processing than what a node can provide is necessary) and on the Internet (where all limitations of processing power are mitigated).…”

Section: Related Workmentioning

confidence: 99%

Sensor Function Virtualization to Support Distributed Intelligence in the Internet of Things

Abeele

Hoebeke

Teklemariam

et al. 2015

Wireless Pers Commun

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It is estimated that-by 2020-billion devices will be connected to the Internet. This number not only includes TVs, PCs, tablets and smartphones, but also billions of embedded sensors that will make up the ''Internet of Things'' and enable a whole new range of intelligent services in domains such as manufacturing, health, smart homes, logistics, etc. To some extent, intelligence such as data processing or access control can be placed on the devices themselves. Alternatively, functionalities can be outsourced to the cloud. In reality, there is no single solution that fits all needs. Cooperation between devices, intermediate infrastructures (local networks, access networks, global networks) and/or cloud systems is needed in order to optimally support IoT communication and IoT applications. Through distributed intelligence the right communication and processing functionality will be available at the right place. The first part of this paper motivates the need for such distributed intelligence based on shortcomings in typical IoT systems. The second part focuses on the concept of sensor function virtualization, a potential enabler for distributed intelligence, and presents solutions on how to realize it.

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“…Other authors hold the view of Service Oriented Architecture (SOA) [7]. Here a Cloud-Assisted remote sensing approach is proposed with four layer architecture consisting of Fog Layer, Stratus Layer, Alto Cumulus Layer and Cirrus Layer.…”

Section: Architecturementioning

confidence: 99%

“…Most devices connect usingWiFi and WLAN solutions. Since Bluetooth and WLAN are two commonly used technologies for connecting to Internet, authors in paper [7] propose new Bluetooth technology for "things" connecting. Bluetooth 4.0 has a special extension for Bluetooth Low Energy which makes this technology suitable for low power sensors in the network.…”

Section: Cloud Connectivity For Internet Of Thingsmentioning

confidence: 99%