Efficient Device-to-Device Service Invocation Using Arrowhead Orchestration

Document identifier: oai:DiVA.org:ltu-76821
Access full text here:10.1109/JIOT.2019.2952697
Keyword: Engineering and Technology, Electrical Engineering, Electronic Engineering, Information Engineering, Other Electrical Engineering, Electronic Engineering, Information Engineering, Teknik och teknologier, Elektroteknik och elektronik, Annan elektroteknik och elektronik, Arrowhead framework, Fog computing, Industrial Internet of Things (IIoT), Service orchestration, Service-oriented architecture (SOA), Elektroniksystem, Electronic systems
Publication year: 2020
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructure
The SDG label(s) above have been assigned by OSDG.ai


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 (D2D) communication approach. Moreover, all these characteristics reduce the scalability of the network, thus limiting the use of IoT in the industry. In this article, 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 D2D service invocation to reduce the drawbacks of today's widely used device-to-cloud approach. The method in this article 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 article at the service level can increase performance and robustness in fog computing on resource-constrained devices.


Cristina Paniagua

Luleå tekniska universitet; EISLAB
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Jens Eliasson

Luleå tekniska universitet; EISLAB
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Jerker Delsing

Luleå tekniska universitet; EISLAB
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