The widespread deployment of smart phone and smart object technologies have fostered the rise of People-centric Internet of Things. People-centric Internet of Things is the direct motivation and drive for agile and social manufacturing applications in future Industry 4.0. However, it is challenging for human to organize services around with crowdsourced, open, decentralized smart objects. In this paper, we propose a service-oriented architecture for People-centric Industrial Internet of Things, and define a reference middleware for both smart phone and smart objects. In addition, a social activities component and a physical activities component of the middleware are presented to trigger interoperations among services, and contain several features of natural intention between humans. Finally, a use case is illustrated how the proposed architecture supports people-centric manufacturing applications.

A social-D2D architecture for People-centric Industrial Internet of Things

Fortino, Giancarlo
2017-01-01

Abstract

The widespread deployment of smart phone and smart object technologies have fostered the rise of People-centric Internet of Things. People-centric Internet of Things is the direct motivation and drive for agile and social manufacturing applications in future Industry 4.0. However, it is challenging for human to organize services around with crowdsourced, open, decentralized smart objects. In this paper, we propose a service-oriented architecture for People-centric Industrial Internet of Things, and define a reference middleware for both smart phone and smart objects. In addition, a social activities component and a physical activities component of the middleware are presented to trigger interoperations among services, and contain several features of natural intention between humans. Finally, a use case is illustrated how the proposed architecture supports people-centric manufacturing applications.
2017
9781509044283
Device-to-Device Interaction; Industry 4.0; People-centric Industrial Internet of Things; Smart object; Smart phone; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Control and Optimization; Instrumentation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/269412
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