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An Open Source Lifecycle Collaboration Approach Supporting Internet of Things System Development
Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China..
Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China..
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-5044-2921
Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China..
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2019 (English)In: 2019 14TH ANNUAL CONFERENCE SYSTEM OF SYSTEMS ENGINEERING (SOSE), IEEE , 2019, p. 63-68Conference paper, Published paper (Refereed)
Abstract [en]

The internet of things (IoT) system integrates heterogeneous systems using centric services to provide a single open solution to process sensor data. During the whole life cycle of IoT systems, developers face the problems of interface management and data interoperability led by increasing complexity. Such problems decrease the efficiency of IoT system development and implementation, such as interface configurations for domain specific systems are difficult if there is not a unified specification. This paper proposed an Open Services for Lifecycle Collaboration (OSLC) approach supporting IoT system development and implementation. The approach integrates domain specific data across the whole lifecycle including development models and sensor data. Moreover, it enables interface management for IoT system development and real-time monitoring for implementations. From the case study, we find an OSLC-based tool, Datalinks, supports data integration and interface management which improves the development efficiency and data interoperability of IoT systems. The integrated data based on OSLC acts the mid-wares of data exchange between physical space and virtual space of IoT system. Moreover, the OSLC-based interfaces are developed based on unified specifications whose reusability is promoted for the future development.

Place, publisher, year, edition, pages
IEEE , 2019. p. 63-68
Keywords [en]
Internet of Things system, OSLC specification, Lifecycle data integration, Interface management and configuration
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-260217DOI: 10.1109/SYSOSE.2019.8753883ISI: 000483472500011Scopus ID: 2-s2.0-85069754537OAI: oai:DiVA.org:kth-260217DiVA, id: diva2:1355738
Conference
14th Annual Conference System of Systems Engineering (SoSE), Anchorage, AK, MAY 19-22, 2019
Note

QC 20190930

Available from: 2019-09-30 Created: 2019-09-30 Last updated: 2019-09-30Bibliographically approved

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Jinzhi, LuTörngren, Martin

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