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A Data-Centric Internet of Things Framework Based on Azure Cloud
Linköping University, Department of Science and Technology, Physics, Electronics and Mathematics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5742-1266
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Science and Technology, Physics, Electronics and Mathematics.ORCID iD: 0000-0002-4136-0817
Corporate Research, ABB AB, Västerås, Sweden.
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 53839-53858Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) has been found pervasive use cases and become a driving force to constitute a digital society. The ultimate goal of IoT is data and the intelligence generated from data. With the progress in public cloud computing technologies, more and more data can be stored, processed and analyzed in cloud to release the power of IoT. However, due to the heterogeneity of hardware and communication protocols in the IoT world, the interoperability and compatibility among different link layer protocols, sub-systems, and back-end services have become a significant challenge to IoT practices. This challenge cannot be addressed by public cloud suppliers since their efforts are mainly put into software and platform services but can hardly be extended to end devices. In this paper, we propose a data-centric IoT framework that incorporates three promising protocols with fundamental security schemes, i.e., WiFi, Thread, and LoRaWAN, to cater to massive IoT and broadband IoT use cases in local, personal, and wide area networks. By taking advantages of the Azure cloud infrastructure, the framework features a unified device management model and data model to conquer the interoperability challenge. We also provide implementation and a case study to validate the framework for practical applications.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 7, p. 53839-53858
Keywords [en]
Internet of Things, Cloud computing, Protocols, Wireless fidelity, Broadband communication, Monitoring, Interoperability, framework, cloud, azure, IoT hub, thread, WiFi, lorawan
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-156704DOI: 10.1109/ACCESS.2019.2913224ISI: 000467047300001OAI: oai:DiVA.org:liu-156704DiVA, id: diva2:1314913
Note

Funding agencies:  Swedish Environmental Protection Agency; Norrkoping Fund for Research and Development, Sweden

Available from: 2019-05-10 Created: 2019-05-10 Last updated: 2021-04-30
In thesis
1. A Data-centric Internet of Things Framework Based on Public Cloud
Open this publication in new window or tab >>A Data-centric Internet of Things Framework Based on Public Cloud
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The pervasive application of Internet of Things (IoT) has been seen in many aspects in human daily life and industrial production. The concept of IoT originates from traditional machine-to-machine (M2M) communications which aimed at solving domain-specific and applicationspecific problems. Today, the rapid progress of communication technologies, the maturation of Internet infrastructures, the continuously reduced cost of sensors, and emergence of more open standards, have witnessed the approaching of the expected IoT era, which envisions full connectivity between the physical world and the digital world via the Internet protocol. The popularity of cloud computing technology has enhanced this IoT transform, benefiting from the superior computing capability and flexible data storage, let alone the security, reliability and scalability advantages.

However, there are still a series of obstacles confronted by the industry in deployment of IoT services. First, due to the heterogeneity of hardware devices and application scenarios, the interoperability and compatibility between link-layer protocols, sub-systems and back-end services are significantly challenging. Second, the device management requires a uniform scheme to implement the commissioning, communication, authorization and identity management to guarantee security. Last, the heterogeneity of data format, speed and storage mechanism for different services pose a challenge to further data mining.

This thesis aims to solve these aforementioned challenges by proposing a data-centric IoT framework based on public cloud platforms. It targets at providing a universal architecture to facilitate the deployment of IoT services in massive IoT and broadband IoT categories. The framework involves three representative communication protocols, namely WiFi, Thread and Lo-RaWAN, to enable support for local, personal, and wide area networks. A security assessment taxonomy for wireless communications in building automation networks is proposed as a tool to evaluate the security performance of adopted protocols, so as to mitigate potential network flaws and guarantee the security. Azure cloud platform is adopted in the framework to provide device management, data processing and storage, visualization, and intelligent services, thanks to the mature cloud infrastructure and the uniform device model and data model. We also exhibit the value of the study by applying the framework into the digitalization procedure of the green plant wall industry. Based on the framework, a remote monitoring and management system for green plant wall is developed as a showcase to validate the feasibility. Furthermore, three specialized visualization methods are proposed and a neuron network-based anomaly detection method is deployed in the project, showing the potential of the framework in terms of data analytics and intelligence.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2019. p. 43
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1850
National Category
Communication Systems
Identifiers
urn:nbn:se:liu:diva-159770 (URN)10.3384/lic.diva-159770 (DOI)9789175190136 (ISBN)
Presentation
2019-09-13, K3, Kåkenhus, Campus Norrköping, Norrköping, 10:15 (English)
Opponent
Supervisors
Available from: 2019-08-21 Created: 2019-08-21 Last updated: 2019-08-26Bibliographically approved
2. Enable the landing of Internet of Things: a holistic approach
Open this publication in new window or tab >>Enable the landing of Internet of Things: a holistic approach
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Internet of Things (IoT) envisions a world where physical assets are fully connected with the Internet infrastructure to provide digital services.  With the advancement of information and communication technologies, IoT applications have experienced a growth in many industries and are anticipated to reshape the landscape of social life and industry production. The emergence of cloud computing has accelerated the widespread employment of IoT technologies, benefiting from superb computation, storage, analytics and visualization capabilities. However, the landing of IoT still encounters several open challenges, i.e., interoperability and compatibility between link layer protocols, subsystems, and back-end services. Moreover, a uniform scheme for device management and the heterogeneity of data have not been tackled by cloud suppliers. In this dissertation, a data-centric IoT framework based on public cloud is presented to address these challenges. It features WiFi, Thread, and LoRaWAN networks to provide support for personal, local and wide area networks so as to enable wide coverage of IoT applications. A security analysis taxonomy is proposed to perform security assessment of IoT field networks and enhance security considerations. In light of the recent industrial tendency that cloud computing is evolving towards edge-cloud computing, further reinforcement of the IoT framework is proposed with the novel edge-cloud computing paradigm. A comprehensive performance evaluation of the edge-cloud computing stack is conducted, while the communication, computing and intelligence capabilities are thoroughly studied for future cloud and edge computing enabled IoT applications. Furthermore, the cloud and edge computing enabled IoT landing with a digitalization practice is showcased in the vertical plant wall industry. A remote monitoring and management system for indoor climate control has been developed based on the IoT framework. As a further step, it is also demonstrated how machine learning can be leveraged to achieve artificial intelligence in IoT with a case study, i.e., anomaly detection for indoor climate. Based on the expertise we accumulated from the industry digitalization practice, a reference framework that intends to guide small and medium sized enterprises to perform IoT enabled digital transformation is proposed. In this way, a true landing of the IoT technology in the society has been demonstrated.

Abstract [sv]

Visionen med Sakernas internet (IoT) är en värld där fysiska apparater är uppkopplade i en sådan grad att dess digitaliseringslösningar ger verklig samhällsnytta. Framsteg inom informations och kommunikationsteknologi har lett till utveckling av IoT-applikationer för olika ändamål. Dessa applikationer förväntas att få en betydande roll för samhället i stort såväl som i industriella sammanhang. Framväxten av molntjänster med kraftfulla lagrings, beräknings, analys och visualiseringsmöjligheter har accelererat användningen av IoT-teknologi. Trots den snabba utvecklingen så finns det flera utmaningar kvar, som exempelvis kompatibilitet mellan olika protokoll, delsystem och olika underliggande tjänster. Ett annat exempel är heterogenitet vad gäller datainsamling och kommunikation, vilket det ännu inte finns någon lösning för hos molntjänsteleverantörerna. I den här avhandlingen presenteras ett IoT-ramverk baserat på publika molntjänster som adresserar dessa utmaningar. Ramverket inkluderar stöd för WiFi, Thread och LoRaWAN nätverk för att möjliggöra ett brett utbud av IoT-applikationer. En taxonomi för säkerhetsbedömning av olika delar i berörda IoT-nätverk ingår också. Som en följd av att allt mer av beräkningarna i molnet decentraliserats ut i ändnoderna så har IoT-ramverket designats med hänsyn till det. Inkluderat är också en omfattande prestandaanalys av IoT-ramverkets stack för beräkningar i ändnoderna, i vilken kommunikation, beräkning, samt maskinlärning har utvärderats. En plattform med demonstratörer baserad på IoT-ramverket har designats och realiserats för växtväggsindustrin. Plattformen har även använts för att demonstrera hur maskininlärning kan tillämpas för att ge växtväggar intelligens att upptäcka anomalier. Baserat på detta forskningsarbete och erfarenheter från pilotinstallationer, så har en digitaliseringsmetodik utarbetats för att guida små och medelstora företag i den digitala transformation som IoT-teknologin medför. På detta sätt har en sann landning av IoT-tekniken i samhället demonstrerats.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2021. p. 54
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2139
National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:liu:diva-175383 (URN)10.3384/diss.diva-175383 (DOI)9789179296704 (ISBN)
Public defence
2021-06-03, TPM 51, Täppan, Campus Norrköping, Norrköping, 10:00 (English)
Opponent
Supervisors
Available from: 2021-05-06 Created: 2021-04-30 Last updated: 2021-10-01Bibliographically approved

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Liu, YuHassan, Kahin AkramKarlsson, MagnusGong, Shaofang

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