A Rule-Based System for Hardware Configuration and Programming of IoT Devices

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Simplifying programming, deployment, and configuration of heterogeneous networked IoT devices requires networking, hardware, representation of knowledge and concepts, design and programming skills. In fact, IoT applications are mostly built by adopting different existing paradigms and technologies on a case-by-case basis. As a result, programming tools hinder adaptability and interoperability of applications with their rigidity. In this paper, we propose a rule-based system that configures and programs IoT devices automatically. The rule base holds formal specifications about hardware platforms, networking protocols, physical world concepts, and applications. Provided with a high-level application goal, the proposed system generates and delivers symbolic application code to the operating devices, which are then able to run it without any further translation. The tool also supports automatic configuration of IoT heterogeneous entities. Based on hardware specifications in the knowledge base, the system outputs the best configuration, i.e. the best way for connecting sensors and actuators to a specific board for a given purpose.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages59-72
Number of pages14
Publication statusPublished - 2019

Publication series

NameLECTURE NOTES IN ARTIFICIAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Martorella, G., Gaglio, S., Peri, D., & Lo Re, G. (2019). A Rule-Based System for Hardware Configuration and Programming of IoT Devices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 59-72). (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).