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Efficient Device-to-Device Service Invocation Using Arrowhead Orchestration
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-9412-6872
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-9586-0991
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-4133-3317
2019 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662Article in journal (Refereed) Epub ahead of print
Abstract [en]

The Internet of Things (IoT) enables interaction from real-world physical objects using sensors to the virtual world of computers and the Internet. The use of service-oriented architecture (SOA) is one step in the creation of basic and complex interactions between several sensors and actuators. However, the use of SOA-enabled technologies alone does not meet all requirements of how sensor and actuator systems could be integrated to create distributed monitoring and control applications. The centralized, traditional method of communication in wireless sensor networks via a gateway presents drawbacks that have to be addressed; device-to-cloud communication adds higher latency and higher power consumption and is less robust than the device-to-device communication approach. Moreover, all these characteristics reduce the scalability of the network, thus limiting the use of IoT in the industry. In this paper, the proposed method utilizes the Arrowhead framework orchestration system to generate service composition within a (wireless) network formed by IoT devices. The aim is to achieve efficient device-to-device service invocation to reduce the drawbacks of today's widely used device-to-cloud approach. The method in this paper performs efficient service composition for industrial IoT, including mapping SOA service composition in very small resource-constrained devices using the Arrowhead orchestration. The results presented in this paper at the service level can increase performance and robustness in fog computing on resource-constrained devices.

Place, publisher, year, edition, pages
IEEE, 2019.
Keywords [en]
Industrial Internet of Things, Service-oriented Architecture, Arrowhead Framework, Service Orchestration, Fog Computing
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electronic systems
Identifiers
URN: urn:nbn:se:ltu:diva-76821DOI: 10.1109/JIOT.2019.2952697OAI: oai:DiVA.org:ltu-76821DiVA, id: diva2:1372254
Available from: 2019-11-22 Created: 2019-11-22 Last updated: 2019-11-25

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Paniagua, CristinaEliasson, JensDelsing, Jerker

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1819202122232421 of 78
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