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Characterizing Internet of Things Systems through Taxonomies: A Systematic Mapping Study
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0002-8025-4734
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0326-0556
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0998-6585
2019 (Engelska)Ingår i: Internet of Things: Engineering Cyber Physical Human Systems, E-ISSN 2542-6605, Vol. 7, artikel-id 100084Artikel, forskningsöversikt (Refereegranskat) Published
Abstract [en]

During the last decade, a large number of different definitions and taxonomies of Internet of Things (IoT) systems have been proposed. This has resulted in a fragmented picture and a lack of consensus about IoT systems and their constituents. To provide a better understanding of this issue and a way forward, we have conducted a Systematic Mapping Study (SMS) of existing IoT System taxonomies. In addition, we propose a characterization of IoT systems synthesized from the existing taxonomies, which provides a more holistic view of IoT systems than previous taxonomies. It includes seventeen characteristics, divided into two groups: elements and quality aspects. Finally, by analyzing the results of the SMS, we draw future research directions.

Ort, förlag, år, upplaga, sidor
Elsevier, 2019. Vol. 7, artikel-id 100084
Nyckelord [en]
Internet of Things (IoT), Characterization of IoT systems, Systematic Mapping Study (SMS), Taxonomies
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:mau:diva-1245DOI: 10.1016/j.iot.2019.100084ISI: 000695693700007Scopus ID: 2-s2.0-85081397939Lokalt ID: 29642OAI: oai:DiVA.org:mau-1245DiVA, id: diva2:1397960
Tillgänglig från: 2020-02-27 Skapad: 2020-02-27 Senast uppdaterad: 2024-02-06Bibliografiskt granskad
Ingår i avhandling
1. Towards Emergent Configurations in the Internet of Things
Öppna denna publikation i ny flik eller fönster >>Towards Emergent Configurations in the Internet of Things
2018 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The Internet of Things (IoT) is a fast-spreading technology that enables new types of services in several domains, such as transportation, health, and building automation. To exploit the potential of the IoT effectively, several challenges have to be tackled including the following ones. First, the proposed IoT visions provide a fragmented picture, leading to a lack of consensus about IoT systems and their constituents. A second set of challenges concerns the environment of IoT systems that is often dynamic and uncertain, e.g. devices can appear and be discovered at runtime as well as become suddenly unavailable. Additionally, the in- volvement of human users complicates the scene as people’s activities are not always predictable . The majority of existing approaches to en- gineer IoT systems rely on predefined processes to achieve users’ goals. Consequently, such systems have significant shortcomings in coping with dynamic and uncertain environments. To piece together the fragmented picture of IoT systems, we sys- tematically identified their characteristics by analyzing and synthesizing existing taxonomies. To address the challenges related to the IoT envir- onment and the involvement of human users, we used the concept of Emergent Configurations (ECs) to engineer IoT systems. An EC consists of a dynamic set of devices that cooperate temporarily to achieve a user goal. To realize this vision, we proposed novel approaches that enable users to achieve their goals by supporting the automated formation, en- actment, and self-adaptation of IoT systems.

Ort, förlag, år, upplaga, sidor
Malmö university. Faculty of Technology and Society, 2018. s. 151
Serie
Studies in Computer Science ; 8
Nyckelord
Emergent Configurations, Internet of Things, Software Architectures, Self Adaptive Systems
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:mau:diva-7795 (URN)10.24834/2043/26522 (DOI)26522 (Lokalt ID)9789171049582 (ISBN)9789171049599 (ISBN)26522 (Arkivnummer)26522 (OAI)
Presentation
2018-12-21, Niagara B1, 13:00 (Engelska)
Opponent
Anmärkning

Note: The papers are not included in the fulltext online.

Paper I in dissertation as manuscript.

Tillgänglig från: 2020-02-28 Skapad: 2020-02-28 Senast uppdaterad: 2024-03-18Bibliografiskt granskad
2. Realizing Emergent Configurations in the Internet of Things
Öppna denna publikation i ny flik eller fönster >>Realizing Emergent Configurations in the Internet of Things
2020 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The Internet of Things (IoT) is a fast-spreading technology that enables new types of services in several domains such as transportation, health, and building automation. To exploit the potential of the IoT effectively, several challenges have to be tackled, including the following ones that we study in this thesis. First, the proposed IoT visions provide a fragmented picture, leading to a lack of consensus about IoT systems and their constituents. To piece together the fragmented picture of IoT systems, we systematically identified their characteristics by analyzing existing taxonomies. More specifically, we identified seventeen characteristics of IoT systems, and grouped them into two categories, namely, elements and quality aspects of IoT systems. Moreover, we conducted a survey to identify the factors that drive the deployment decisions of IoT systems in practice. A second set of challenges concerns the environment of IoT systems that is often dynamic and uncertain. For instance, due to the mobility of users and things, the set of things available in users' environment might change suddenly. Similarly, the status of IoT systems’ deployment topologies (i.e., the deployment nodes and their interconnections) might change abruptly. Moreover, environmental conditions monitored and controlled through IoT devices, such as ambient temperature and oxygen levels, might fluctuate suddenly. The majority of existing approaches to engineer IoT systems rely on predefined processes to achieve users’ goals. Consequently, such systems have significant shortcomings in coping with dynamic and uncertain environments. To address these challenges, we used the concept of Emergent Configurations (ECs) to engineer goal-driven IoT systems. An EC is an IoT system that consists of a dynamic set of things that cooperate temporarily to achieve a user goal. To realize ECs, we proposed an abstract architectural approach, comprising an architecture and processes, as well as six novel approaches that refine the abstract approach. The developed approaches support users to achieve their goals seamlessly in arbitrary environments by enabling the dynamic formation, deployment, enactment, and self-adaptation of IoT systems. The approaches exploit different techniques and focus on different aspects of ECs. Moreover, to better support users in dynamic and uncertain environments, we investigated the automated configuration of those environments based on users' preferences. 

Ort, förlag, år, upplaga, sidor
Malmö: Malmö universitet, 2020. s. 254
Serie
Studies in Computer Science ; 12
Nyckelord
Internet of Things, Emergent Configurations, Goal-driven IoT Systems, Automated Configuration of IoT environments, Software Architectures, Self-adaptive Systems.
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:mau:diva-18508 (URN)10.24834/isbn.9789178771226 (DOI)978-91-7877-121-9 (ISBN)978-91-7877-122-6 (ISBN)
Disputation
2020-12-18, Digitalt, 10:00 (Engelska)
Opponent
Handledare
Projekt
Emergent Configurations for IoT Systems – ECOS+
Tillgänglig från: 2020-10-06 Skapad: 2020-10-06 Senast uppdaterad: 2023-12-28Bibliografiskt granskad

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Alkhabbas, FahedSpalazzese, RominaDavidsson, Paul

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Internet of Things: Engineering Cyber Physical Human Systems
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