SOLIOT - Decentralized Data Control and Interactions for IoT

The digital revolution affects every aspect of society and economy. In particular, the manufacturing industry faces a new age of production processes and connected collaboration. The underlying ideas and concepts, often also framed as a new “Internet of Things”, transfer IT technologies to the shop floor, entailing major challenges regarding the heterogeneity of the domain. On the other hand, web technologies have already proven their value in distributed settings. SOLID (derived from “social linked data”) is a recent approach to decentralize data control and standardize interactions for social applications in the web. Extending this approach towards industrial applications has the potential to bridge the gap between the World Wide Web and local manufacturing environments. This paper proposes SOLIOT—a combination of lightweight industrial protocols with the integration and data control provided by SOLID. An in-depth requirement analysis examines the potential but also current limitations of the approach. The conceptual capabilities are outlined, compared and extended for the IoT protocols CoAP and MQTT. The feasibility of the approach is illustrated through an open-source implementation, which is evaluated in a virtual test bed and a detailed analysis of the proposed components.

[1]  Detlef Zühlke,et al.  Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry , 2016 .

[2]  Eugenio Di Sciascio,et al.  Linking the Web of Things: LDP-CoAP Mapping , 2016, ANT/SEIT.

[3]  Lionel Médini,et al.  An Avatar Architecture for the Web of Things , 2015, IEEE Internet Computing.

[4]  Carsten Bormann,et al.  The Constrained Application Protocol (CoAP) , 2014, RFC.

[5]  Fei Tao,et al.  Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.

[6]  Qi Han,et al.  Efficient and robust attribute-based encryption supporting access policy hiding in Internet of Things , 2018, Future Gener. Comput. Syst..

[7]  Frank Leymann,et al.  Portable Cloud Services Using TOSCA , 2012, IEEE Internet Computing.

[8]  Dirk Schulz,et al.  A common core for information modeling in the Industrial Internet of Things , 2016, Autom..

[9]  Weisong Shi,et al.  Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.

[10]  Mazdak Zamani,et al.  A Systematic Literature Review of Authentication in Internet of Things for Heterogeneous Devices , 2019, J. Comput. Networks Commun..

[11]  Joe Cunningham,et al.  The industrial internet of things (IIoT): An analysis framework , 2018, Comput. Ind..

[12]  François Jammes,et al.  Service-oriented paradigms in industrial automation , 2005, IEEE Transactions on Industrial Informatics.

[13]  Rajkumar Buyya,et al.  Quality of Experience (QoE)-aware placement of applications in Fog computing environments , 2019, J. Parallel Distributed Comput..

[14]  Mihai T. Lazarescu,et al.  Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications , 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.