research-article

Internet of Things for enabling smart environments: : A technology-centric perspective

Authors: Carles Gomez, Stefano Chessa, Anthony Fleury, George Roussos, Davy PreuveneersAuthors Info & Claims

Journal of Ambient Intelligence and Smart Environments, Volume 11, Issue 1

Pages 23 - 43

https://doi.org/10.3233/AIS-180509

Published: 01 January 2019 Publication History

Abstract

The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are augmented with computational and wireless communication capabilities, typically through the incorporation of resource-constrained devices including sensors and actuators, which enable their connection to the Internet. The IoT is seen as the key ingredient for the development of smart environments. Nevertheless, the current IoT ecosystem offers many alternative communication solutions with diverse performance characteristics. This situation presents a major challenge to identifying the most suitable IoT communication solution(s) for a particular smart environment. In this paper we consider the distinct requirements of key smart environments, namely the smart home, smart health, smart cities and smart factories, and relate them to current IoT communication solutions. Specifically, we describe the core characteristics of these smart environments and then proceed to provide a comprehensive survey of relevant IoT communication technologies and architectures. We conclude with our reflections on the crucial features of IoT solutions in this setting and a discussion of challenges that remain open for research.

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Index Terms

Internet of Things for enabling smart environments: A technology-centric perspective
1. Computer systems organization
  1. Architectures
  2. Embedded and cyber-physical systems
2. Networks
  1. Network architectures
  2. Network types
    1. Mobile networks
    2. Wireless access networks

Index terms have been assigned to the content through auto-classification.

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cover image Journal of Ambient Intelligence and Smart Environments

Journal of Ambient Intelligence and Smart Environments Volume 11, Issue 1

2019

105 pages

ISSN:1876-1364

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Yang HLi B(2024)Evaluation factors of adopting smart home IoTJournal of Ambient Intelligence and Smart Environments10.3233/AIS-23007116:4(439-464)Online publication date: 1-Jan-2024
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https://dl.acm.org/doi/10.1145/3580890
De Pessemier TVan Renterghem TVanhecke KAll AFilipan KSun KDe Coensel BDe Marez LMartens LBotteldooren DJoseph W(2022)Enhancing the park experience by giving visitors control over the park’s soundscapeJournal of Ambient Intelligence and Smart Environments10.3233/AIS-22062114:2(99-118)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/AIS-220621
Macías ANavarro E(2022)Paradigms for the conceptualization of Cyber-Physical-Social-Thinking hyperspaceJournal of Ambient Intelligence and Smart Environments10.3233/AIS-21049214:4(285-316)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/AIS-210492
Lee SYeh C(2022)A highly efficient garbage pick-up embedded system based on improved SSD neural network using robotic armsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-21012914:5(405-421)Online publication date: 5-Sep-2022
https://dl.acm.org/doi/10.3233/AIS-210129
Saini JDutta MMarques G(2022)A novel application of fuzzy inference system optimized with particle swarm optimization and genetic algorithm for PM10 predictionSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-06777-726:18(9573-9586)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s00500-022-06777-7
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