Abstract
The explosion of smart objects made companies rethink their Business Model (BM) using Wireless Sensor Networks (WSN) and the Internet of Things (IoT) aiming to improve their Business Processes (BP) to achieve competitiveness. Business environments are complex due to the wide variety of technologies, hardware and software solutions that compose heterogeneous enterprise environments. On the other hand, putting real-world IoT scenarios into practice is still a challenge for even experienced developers, because it requires low-level programming skills and, at the same time, specific domain knowledge of a company`s BM. This research paper proposes LAURA – Lean AUtomatic code generation for situation-aware and business-awaRe Applications, a flexible, service-oriented and general open-source conceptual architecture, designed to support the deployment of decoupled IoT applications. Empirical evaluation has shown that LAURA simplifies the development of final Situation-Aware or Business-Aware applications, reducing the need for specialized IoT low-level knowledge, while showing an acceptable performance. LAURA also provides the freedom and independence to modify, adapt or integrate its architecture according to specific needs of the stakeholders.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
