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Future Internet
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The Internet of Things for Smart Environments
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The Internet of Things for Smart Environments

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 31480

Special Issue Editors

Dr. Giuseppe Ruggeri

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Guest Editor
DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy
Interests: interconnection-integration of heterogeneous wireless networks; self-organizing networks; Internet of Things (IoT); Social Internet of Things (SIoT) and M2M communications
Special Issues, Collections and Topics in MDPI journals
Dr. Valeria Loscri

E-Mail Website
Guest Editor
FUN Team, Inria Lille – Nord Europe, France
Interests: Self-organizing networks, Internet of Things (IoT), Visible Light Communication, Nano-Communication Paradigm
Special Issues, Collections and Topics in MDPI journals
Dr. Marica Amadeo

E-Mail Website
Guest Editor
DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy
Interests: information-centric networking; vehicular ad hoc networks; mobile ad hoc networks; Internet of Things; edge computing; software-defined networking
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Carlos Tavares Calafate

E-Mail Website
Guest Editor
Computer Engineering Department (DISCA), Universitat Politècnica de València (UPV), 46022 Valencia, Spain
Interests: UAV networking and communications solutions; drone swarms; UAS traffic management (UTM); IoT; Traffic management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

By leveraging the global interconnection of billions of tiny smart objects, the Internet of Things (IoT) paradigm is the main enabler of smart environments, ranging from smart cities, to building automation, smart transportation, smart grids and healthcare. However, despite the research advancements in recent years, many open issues still prevent the full realization of such visions.

Today’s communication systems hardly suit the connection of a huge number of (usually battery-powered) IoT devices, including low-power sensors, actuators, smartphones, tablets and robots. Massively distributed into the environment, those devices may generate huge amounts of data, offer computational resources, and cooperate to perform some tasks locally, as well as to delegate their execution to more powerful nodes. In addition to the traditional pull-based data delivery, push-based and publish/subscribe traffic patterns must be supported. Such a complex ecosystem requires proper scalable management platforms and protocols able to dynamically discover and integrate the new IoT devices that might be introduced in the smart environment.

Many research activities are being conducted to address these issues.

In the context of the 5G standardization, massive machine type communications is considered one of the driving use cases where intelligent machines, without or with a low degree of intervention by humans, autonomously generate, process and exchange data.

Middleware architectures, together with the cloud and the edge computing paradigms, are proposed to deal with device heterogeneity, and to manage the huge amount of data generated by IoT sources. In addition to designs based on the IP protocol, such as CoAP/6LoWPAN, novel future internet networking paradigms, such as information-centric networking (ICN) and software-defined networking (SDN), also play a key role in the deployment of IoT smart environments.

This Special Issue aims to present a collection of innovative papers reporting the most recent advancements in the fields of smart architecture, protocols and practical implementations enabling IoT for smart environments. Topics of interests include, but are not limited to the following:

  • Models of network component interactions on smart environments;
  • Distributed sensing and control in smart environments;
  • Mobile-aware cloud computing models, infrastructures, and approaches for smart environments;
  • Mobile edge computing for smart environments;
  • Crowdsourcing in smart environments;
  • IoT architecture and middleware;
  • Novel communication protocols for M2M/MTC communication;
  • Novel networking paradigms (e.g., ICN, SDN) for IoT;
  • Energy efficient solutions for IoT;
  • Device-2-device communications (D2D);
  • Reliability, security, privacy and trust in smart environment ecosystems;
  • Business models to promote user collaboration and resource sharing in smart environments;
  • Testbeds demonstrating the feasibility of smart environments;
  • Applications, business, standards, and social issues.

Dr. Giuseppe Ruggeri
Dr. Valeria Loscrì
Dr. Marica Amadeo
Dr. Carlos Tavares Calafate
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. Future Internet is an international peer-reviewed open access monthly 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 1600 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

  • Smart Environments
  • Internet of Things
  • Cloud Computing
  • Fog/Edge Computing
  • Information-Centric Networking
  • Energy Efficiency
  • Machine Type Communications
  • M2M

Published Papers (7 papers)

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Editorial

Jump to: Research

2 pages, 139 KiB  
Editorial
The Internet of Things for Smart Environments
by Giuseppe Ruggeri, Valeria Loscrí, Marica Amadeo and Carlos T. Calafate
Future Internet 2020, 12(3), 51; https://doi.org/10.3390/fi12030051 - 14 Mar 2020
Cited by 5 | Viewed by 3391
Abstract
By leveraging the global interconnection of billions of tiny smart objects, the Internet of Things (IoT) paradigm is the main enabler of smart environments, ranging from smart cities to building automation, smart transportation, smart grids, and healthcare [...] Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)

Research

Jump to: Editorial

20 pages, 13597 KiB  
Article
EAOA: Energy-Aware Grid-Based 3D-Obstacle Avoidance in Coverage Path Planning for UAVs
by Alia Ghaddar and Ahmad Merei
Future Internet 2020, 12(2), 29; https://doi.org/10.3390/fi12020029 - 08 Feb 2020
Cited by 11 | Viewed by 5440
Abstract
The presence of obstacles like a tree, buildings, or birds along the path of a drone has the ability to endanger and harm the UAV’s flight mission. Avoiding obstacles is one of the critical challenging keys to successfully achieve a UAV’s mission. The [...] Read more.
The presence of obstacles like a tree, buildings, or birds along the path of a drone has the ability to endanger and harm the UAV’s flight mission. Avoiding obstacles is one of the critical challenging keys to successfully achieve a UAV’s mission. The path planning needs to be adapted to make intelligent and accurate avoidance online and in time. In this paper, we propose an energy-aware grid based solution for obstacle avoidance (EAOA). Our work is based on two phases: in the first one, a trajectory path is generated offline using the area top-view. The second phase depends on the path obtained in the first phase. A camera captures a frontal view of the scene that contains the obstacle, then the algorithm determines the new position where the drone has to move to, in order to bypass the obstacle. In this paper, the obstacles are static. The results show a gain in energy and completion time using 3D scene information compared to 2D scene information. Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)
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17 pages, 3144 KiB  
Article
MCCM: An Approach for Connectivity and Coverage Maximization
by Alia Ghaddar, Monah Bou Hatoum, Ghassan Fadlallah and Hamid Mcheick
Future Internet 2020, 12(2), 19; https://doi.org/10.3390/fi12020019 - 21 Jan 2020
Cited by 4 | Viewed by 3873
Abstract
The internet of Things (IoT) has attracted significant attention in many applications in both academic and industrial areas. In IoT, each object can have the capabilities of sensing, identifying, networking and processing to communicate with ubiquitous objects and services. Often this paradigm (IoT) [...] Read more.
The internet of Things (IoT) has attracted significant attention in many applications in both academic and industrial areas. In IoT, each object can have the capabilities of sensing, identifying, networking and processing to communicate with ubiquitous objects and services. Often this paradigm (IoT) using Wireless Sensor Networks must cover large area of interest (AoI) with huge number of devices. As these devices might be battery powered and randomly deployed, their long-term availability and connectivity for area coverage is very important, in particular in harsh environments. Moreover, a poor distribution of devices may lead to coverage holes and degradation to the quality of service. In this paper, we propose an approach for self-organization and coverage maximization. We present a distributed algorithm for “Maintaining Connectivity and Coverage Maximization” called M C C M . The algorithm operates on different movable devices in homogeneous and heterogeneous distribution. It does not require high computational complexity. The main goal is to keep the movement of devices as minimal as possible to save energy. Another goal is to reduce the overlapping areas covered by different devices to increase the coverage while maintaining connectivity. Simulation results show that the proposed algorithm can achieve higher coverage and lower nodes’ movement over existing algorithms in the state of the art. Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)
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21 pages, 986 KiB  
Article
WLAN Aware Cognitive Medium Access Control Protocol for IoT Applications
by Asfund Ausaf, Mohammad Zubair Khan, Muhammad Awais Javed and Ali Kashif Bashir
Future Internet 2020, 12(1), 11; https://doi.org/10.3390/fi12010011 - 11 Jan 2020
Cited by 9 | Viewed by 4354
Abstract
Internet of Things (IoT)-based devices consist of wireless sensor nodes that are battery-powered; thus, energy efficiency is a major issue. IEEE 802.15.4-compliant IoT devices operate in the unlicensed Industrial, Scientific, and Medical (ISM) band of 2.4 GHz and are subject to interference caused [...] Read more.
Internet of Things (IoT)-based devices consist of wireless sensor nodes that are battery-powered; thus, energy efficiency is a major issue. IEEE 802.15.4-compliant IoT devices operate in the unlicensed Industrial, Scientific, and Medical (ISM) band of 2.4 GHz and are subject to interference caused by high-powered IEEE 802.11-compliant Wireless Local Area Network (WLAN) users. This interference causes frequent packet drop and energy loss for IoT users. In this work, we propose a WLAN Aware Cognitive Medium Access Control (WAC-MAC) protocol for IoT users that uses techniques, such as energy detection based sensing, adaptive wake-up scheduling, and adaptive backoff, to reduce interference with the WSN and improve network lifetime of the IoT users. Results show that the proposed WAC-MAC achieves a higher packet reception rate and reduces the energy consumption of IoT nodes. Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)
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15 pages, 479 KiB  
Article
Secure WiFi-Direct Using Key Exchange for IoT Device-to-Device Communications in a Smart Environment
by Zakariae Belghazi, Nabil Benamar, Adnane Addaim and Chaker Abdelaziz Kerrache
Future Internet 2019, 11(12), 251; https://doi.org/10.3390/fi11120251 - 02 Dec 2019
Cited by 13 | Viewed by 4775
Abstract
With the rapid growth of Internet of Things (IoT) devices around the world, thousands of mobile users share many data with each other daily. IoT communication has been developed in the past few years to ensure direct connection among mobile users. However, wireless [...] Read more.
With the rapid growth of Internet of Things (IoT) devices around the world, thousands of mobile users share many data with each other daily. IoT communication has been developed in the past few years to ensure direct connection among mobile users. However, wireless vulnerabilities exist that cause security concerns for IoT device-to-device (D2D) communication. This has become a serious debate, especially in smart environments where highly sensitive information is exchanged. In this paper, we study the security requirements in IoT D2D communication. In addition, we propose a novel authentication approach called Secure Key Exchange with QR Code (SeKeQ) to verify user identity by ensuring an automatic key comparison and providing a shared secret key using Diffie-Hellman key agreement with an SHA-256 hash. To evaluate the performance of SeKeQ, we ran a testbed using devices with a WiFi-Direct communication interface. The obtained results depict that our proposal can offer the required security functions including key exchange, data confidentiality, and integrity. In addition, our proposal can reach the same security performances as MANA (Manual Authentication) and UMAC (Universal-Hashing Message Authentication Code) but with 10 times fewer key computations and reduced memory occupancy. Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)
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21 pages, 1142 KiB  
Article
Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms
by Marica Amadeo, Giuseppe Ruggeri, Claudia Campolo, Antonella Molinaro, Valeria Loscrí and Carlos T. Calafate
Future Internet 2019, 11(11), 222; https://doi.org/10.3390/fi11110222 - 24 Oct 2019
Cited by 9 | Viewed by 4161
Abstract
By offering low-latency and context-aware services, fog computing will have a peculiar role in the deployment of Internet of Things (IoT) applications for smart environments. Unlike the conventional remote cloud, for which consolidated architectures and deployment options exist, many design and implementation aspects [...] Read more.
By offering low-latency and context-aware services, fog computing will have a peculiar role in the deployment of Internet of Things (IoT) applications for smart environments. Unlike the conventional remote cloud, for which consolidated architectures and deployment options exist, many design and implementation aspects remain open when considering the latest fog computing paradigm. In this paper, we focus on the problems of dynamically discovering the processing and storage resources distributed among fog nodes and, accordingly, orchestrating them for the provisioning of IoT services for smart environments. In particular, we show how these functionalities can be effectively supported by the revolutionary Named Data Networking (NDN) paradigm. Originally conceived to support named content delivery, NDN can be extended to request and provide named computation services, with NDN nodes acting as both content routers and in-network service executors. To substantiate our analysis, we present an NDN fog computing framework with focus on a smart campus scenario, where the execution of IoT services is dynamically orchestrated and performed by NDN nodes in a distributed fashion. A simulation campaign in ndnSIM, the reference network simulator of the NDN research community, is also presented to assess the performance of our proposal against state-of-the-art solutions. Results confirm the superiority of the proposal in terms of service provisioning time, paid at the expenses of a slightly higher amount of traffic exchanged among fog nodes. Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)
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16 pages, 1203 KiB  
Article
RFID Based Embedded System for Sustainable Food Management in an IoT Network Paradigm
by Raúl Parada, Alfonso Palazón, Carlos Monzo and Joan Melià-Seguí
Future Internet 2019, 11(9), 189; https://doi.org/10.3390/fi11090189 - 01 Sep 2019
Cited by 3 | Viewed by 4458
Abstract
A third of the food produced in the world ends up in the rubbish, enough to put an end to world hunger. On the other hand, society is increasingly concerned to bring healthy eating habits. A RFID (radio frequency identification) food management system [...] Read more.
A third of the food produced in the world ends up in the rubbish, enough to put an end to world hunger. On the other hand, society is increasingly concerned to bring healthy eating habits. A RFID (radio frequency identification) food management system is designed to palliate the previously described issues in an Internet of Things (IoT) network paradigm. It consists of RFID readers placed on a user’s kitchen furniture, which automatically reads food information. There is no need for direct sight between reader and tag, as it occurs through the barcode technology. As a complement, a multi-platform web application is developed, allowing its users to check the date of food expiration and other detailed information. The application notifies the user when a product is about to expire. It also offers recipes that might be prepared with available foods, thus preventing them from being wasted. The recipes are accompanied by their nutritional information, so that the user can exhaustively monitor what he/she eats. This embedded system may provide economic benefits to the manufacturer, since it allows supermarkets to pay for displaying their products advertised through the application. After system deployment, design conclusions are shown, and future improvement points are indicated. Full article
(This article belongs to the Special Issue The Internet of Things for Smart Environments)
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