IoTCrawler: Browsing the Internet of Things

by | Jul 11, 2019 | 0 comments

The Internet of Things (IoT) offers an incredible innovation potential for developing smarter applications and services. Today, however, we see solutions in the development of vertical applications and services reflecting what used to be the early days of the Web, leading to fragmentation and what can rigtly be referred to as intra-nets of Things. To achieve an open IoT ecosystem of systems and platforms, several key enablers are needed for effective, adaptive and scalable mechanisms for exploring and discovering IoT resources, their data and capabilities.

This paper discusses that and more aspects of our work in the EU H2020 IoTCrawler project. Its focus is on the integration and interoperability across different platforms, through dynamic and reconfigurable solutions for discovery and integration of data and services from legacy and new systems. This is complemented with adaptive, privacy-aware and secure solutions for crawling, indexing and searching in distributed IoT systems. IoTCrawler targets IoT development and demonstrations taking into account Industry 4.0, Social IoT, Smart City and Smart Energy use cases.

This paper presents the key ideas and the archi-tecture of a crawling and discovery engine for the Internet of Things resources and their data. We describe our work in the context of the H2020 project. IoTCrawler proposes a framework to make possible the effective search over IoT resources.

Antonio F. Skarmeta, José Santa, Juan A. Martinez, Josiane X. Parreira, Payam Barnaghi, Shirin Enshaeifar, Michail J. Beliatis, Mirko A. Presser, Thorben Iggena, Marten Fischer, Ralf Tönjes, Martin Strohbach, Alessandro Sforzin and Hien Truong

University of Murcia, Siemens, University of Surrey, Aarhus University, University of Applied Sciences Osnabrück, AGT International, NEC Laboratories Europe

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