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Trends and Advances in Ambient Intelligence for the Internet of Things

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 19611

Special Issue Editors

Prof. Dr. Nick Bassiliades

E-Mail Website
Guest Editor
School of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: smart grids; electric vehicles; multi-agent systems; information integration
Special Issues, Collections and Topics in MDPI journals
Dr. Antonis Bikakis

E-Mail Website
Guest Editor
Associate Professor, Department of Information Studies, University College London, Gower Street, London WC1E 6BT, UK
Interests: knowledge representation; nonmonotonic reasoning; argumentation; semantic web; ambient intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Dimitris Vrakas

E-Mail Website
Guest Editor
Assistant Professor, Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: artificial intelligence; automated planning; semantic web services; sensor networks; problem solving; knowledge representation; parallel systems and parallel search algorithms

Special Issue Information

Dear Colleagues,

Owing mainly to the recent advances in wireless communication and embedded computing technologies, billions of devices, from tiny wireless sensors to powerful data centre nodes, are now connected to each other over the Internet, forming what is known as the Internet of Things (IoT). At the same time, ambient intelligence (AmI), a new paradigm of human–computer interaction, powered by the developments in artificial intelligence, promises to transform our living environments into intelligent spaces that will support us in our everyday tasks and activities in an adaptive, seamless and unobtrusive fashion. Leveraging the enhanced connectivity of the Internet of Things and the growing capabilities of ambient intelligence technologies will lead to the development of a new generation of more advanced and larger-scale solutions for several application domains such as healthcare, education, culture, transportation, energy management, emergency services and others.

In order to maximize the benefits that the technology has to offer, one has to tailor ambient intelligence methodologies, systems and techniques in a way that realizes the notion of “from data to intelligent action”. Data from IoT sensors need to be analysed in an intelligent way, enabling reasoning about goals and actions to be efficiently communicated to the IoT actuators in a resilient and versatile scheme that realizes the smart environment vision.

The aim of this Special Issue is to present the latest trends, research solutions, developments and applications that combine methods, techniques and technologies from the Internet of Things and ambient intelligence, demonstrating the potential of combining these two lines of research.

Prof. Dr. Nick Bassiliades
Prof. Dr. Antonis Bikakis
Prof. Dr. Dimitris Vrakas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

Internet of Things

Web of Things

Ambient Intelligence

Ambient Computing

Ubiquitous Computing, Pervasive Computing

Mobile Computing

Disappearing computer

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Published Papers (3 papers)

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Research

44 pages, 10027 KiB  
Article
Ambient Intelligence in the Living Room
by Asterios Leonidis, Maria Korozi, Vassilis Kouroumalis, Evangelos Poutouris, Evropi Stefanidi, Dimitrios Arampatzis, Eirini Sykianaki, Nikolaos Anyfantis, Evangelos Kalligiannakis, Vassilis C. Nicodemou, Zinovia Stefanidi, Emmanouil Adamakis, Nikos Stivaktakis, Theodoros Evdaimon and Margherita Antona
Sensors 2019, 19(22), 5011; https://doi.org/10.3390/s19225011 - 16 Nov 2019
Cited by 21 | Viewed by 6804
Abstract
The emergence of the Ambient Intelligence (AmI) paradigm and the proliferation of Internet of Things (IoT) devices and services unveiled new potentials for the domain of domestic living, where the line between “the computer” and the (intelligent) environment becomes altogether invisible. Particularly, the [...] Read more.
The emergence of the Ambient Intelligence (AmI) paradigm and the proliferation of Internet of Things (IoT) devices and services unveiled new potentials for the domain of domestic living, where the line between “the computer” and the (intelligent) environment becomes altogether invisible. Particularly, the residents of a house can use the living room not only as a traditional social and individual space where many activities take place, but also as a smart ecosystem that (a) enhances leisure activities by providing a rich suite of entertainment applications, (b) implements a home control middleware, (c) acts as an intervention host that is able to display appropriate content when the users need help or support, (d) behaves as an intelligent agent that communicates with the users in a natural manner and assists them throughout their daily activities, (e) presents a notification hub that provides personalized alerts according to contextual information, and (f) becomes an intermediary communication center for the family. This paper (i) describes how the “Intelligent Living Room” realizes these newly emerged roles, (ii) presents the process that was followed in order to design the living room environment, (iii) introduces the hardware and software facilities that were developed in order to improve quality of life, and (iv) reports the findings of various evaluation experiments conducted to assess the overall User Experience (UX). Full article
(This article belongs to the Special Issue Trends and Advances in Ambient Intelligence for the Internet of Things)
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32 pages, 2435 KiB  
Article
Robot Assistance in Dynamic Smart Environments—A Hierarchical Continual Planning in the Now Framework
by Helen Harman, Keshav Chintamani and Pieter Simoens
Sensors 2019, 19(22), 4856; https://doi.org/10.3390/s19224856 - 7 Nov 2019
Cited by 7 | Viewed by 4049
Abstract
By coupling a robot to a smart environment, the robot can sense state beyond the perception range of its onboard sensors and gain greater actuation capabilities. Nevertheless, incorporating the states and actions of Internet of Things (IoT) devices into the robot’s onboard planner [...] Read more.
By coupling a robot to a smart environment, the robot can sense state beyond the perception range of its onboard sensors and gain greater actuation capabilities. Nevertheless, incorporating the states and actions of Internet of Things (IoT) devices into the robot’s onboard planner increases the computational load, and thus can delay the execution of a task. Moreover, tasks may be frequently replanned due to the unanticipated actions of humans. Our framework aims to mitigate these inadequacies. In this paper, we propose a continual planning framework, which incorporates the sensing and actuation capabilities of IoT devices into a robot’s state estimation, task planing and task execution. The robot’s onboard task planner queries a cloud-based framework for actuators, capable of the actions the robot cannot execute. Once generated, the plan is sent to the cloud back-end, which will inform the robot if any IoT device reports a state change affecting its plan. Moreover, a Hierarchical Continual Planning in the Now approach was developed in which tasks are split-up into subtasks. To delay the planning of actions that will not be promptly executed, and thus to reduce the frequency of replanning, the first subtask is planned and executed before the subsequent subtask is. Only information relevant to the current (sub)task is provided to the task planner. We apply our framework to a smart home and office scenario in which the robot is tasked with carrying out a human’s requests. A prototype implementation in a smart home, and simulator-based evaluation results, are presented to demonstrate the effectiveness of our framework. Full article
(This article belongs to the Special Issue Trends and Advances in Ambient Intelligence for the Internet of Things)
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25 pages, 2938 KiB  
Article
A Multi-Protocol IoT Platform Based on Open-Source Frameworks
by Charilaos Akasiadis, Vassilis Pitsilis and Constantine D. Spyropoulos
Sensors 2019, 19(19), 4217; https://doi.org/10.3390/s19194217 - 28 Sep 2019
Cited by 35 | Viewed by 7810
Abstract
Internet of Things (IoT) technologies have evolved rapidly during the last decade, and many architecture types have been proposed for distributed and interconnected systems. However, most systems are implemented following fragmented approaches for specific application domains, introducing difficulties in providing unified solutions. However, [...] Read more.
Internet of Things (IoT) technologies have evolved rapidly during the last decade, and many architecture types have been proposed for distributed and interconnected systems. However, most systems are implemented following fragmented approaches for specific application domains, introducing difficulties in providing unified solutions. However, the unification of solutions is an important feature from an IoT perspective. In this paper, we present an IoT platform that supports multiple application layer communication protocols (Representational State Transfer (REST)/HyperText Transfer Protocol (HTTP), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Constrained Application Protocol (CoAP), and Websockets) and that is composed of open-source frameworks (RabbitMQ, Ponte, OM2M, and RDF4J). We have explored a back-end system that interoperates with the various frameworks and offers a single approach for user-access control on IoT data streams and micro-services. The proposed platform is evaluated using its containerized version, being easily deployable on the vast majority of modern computing infrastructures. Its design promotes service reusability and follows a marketplace architecture, so that the creation of interoperable IoT ecosystems with active contributors is enabled. All the platform’s features are analyzed, and we discuss the results of experiments, with the multiple communication protocols being tested when used interchangeably for transferring data. Developing unified solutions using such a platform is of interest to users and developers as they can test and evaluate local instances or even complex applications composed of their own IoT resources before releasing a production version to the marketplace. Full article
(This article belongs to the Special Issue Trends and Advances in Ambient Intelligence for the Internet of Things)
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