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Computing

, Volume 101, Issue 11, pp 1661–1685 | Cite as

Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system

  • Aneta Poniszewska-Maranda
  • Daniel Kaczmarek
  • Natalia Kryvinska
  • Fatos XhafaEmail author
Article

Abstract

The Internet of Things (IoT) has emerged as a disruptive technology for the current and future of computing and communication. IoT is characterized by a variety of heterogeneous technologies and devices able to be connected to the Internet. Current and future research and development efforts aim at adding artificial intelligence to IoT systems, enabling devices to become smart and thus make autonomous decisions individually or collectively. Additionally, such smart devices have the ability to interact not only with other smart devices but also with humans. Thus, the aim of this paper is to investigate the usability of the artificial intelligence in the IoT paradigm. To achieve the approach, a system called smart-IoT is built based on artificial neural networks, namely, neural networks have been learned by back-propagation algorithm. The system is tested using mobile devices under Android as smart objects. Experiments with neural networks were carried on certain services (such as auto set alarms for a specific event, or estimating the time to return home). These experiments showed the feasibility of embedding neural networks techniques into the IoT system. The approach allows also for easy adding of new services, which in turn means that smart IoT is a modular and full-fledged system.

Keywords

Artificial intelligence (AI) Neural networks Internet of Things (IoT) Mobile device Mobile service system System design 

Mathematics Subject Classification

68Txx Artificial intelligence 68Uxx Computing methodologies and applications 92B20 Neural networks, artificial life and related topics 82C32 Neural nets 94C30 Applications of design theory 

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Lodz University of TechnologyLodzPoland
  2. 2.Comenius University in BratislavaBratislavaSlovakia
  3. 3.Universitat Politècnica de CatalunyaBarcelonaSpain

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