Wireless Sensor Networks Applications for Smart Cities

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 3734

Special Issue Editors


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Guest Editor
Department of Business Administration, University of Thessaly, 41500 Larissa, Greece
Interests: business intelligence; artificial intelligence; smart cities; energy efficiency
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Computer Engineering, University of Thessaly, 38333 Volos, Greece
Interests: artificial intelligence; smart energy; multi agent systems formal modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, it is evident that the technological advancements in computing and the great innovation achievements in telecommunications have drastically altered the world. More specifically, the Internet of Things (IoT) provides new challenges and possibilities in cities, leading to the concept of smart cities. Smart cities are more sustainable, efficient, motivate the information sharing and provide a better quality of living. The primary goal of a smart city is to create an urban environment that yields a high quality of life to its residents while generating overall economic growth.  In order to achieve these goals, smart cities employ a wide range of technologies including sensor networks, artificial intelligence, cloud computing, machine learning, machine-to-machine communication and big data. In fact, sensor technologies are essential for cities because they present a quintessential and operational feasible environment.

Although the area of wireless sensor networks has been thoroughly examined in the literate, the problem of addressing the wireless sensor network applications for smart cities still has a wide range of open issues and challenges. This Special Issue is aimed at addressing issues that are involved in connectivity, heterogeneity of infrastructure, data processing, management, energy waste, security and privacy. This includes:

  • Wireless sensor network applications for smart cities;
  • Novel architectures, protocols and algorithms for wireless sensor network applications for smart cities;
  • Communication platforms and access technologies;
  • Theoretical modelling and frameworks for wireless sensor network applications for smart cities;
  • Case studies, real solutions, designs, and implementations of smart cities;
  • Security and privacy frameworks for wireless sensor network applications for smart cities;
  • Innovative techniques for wireless sensor network security applications for smart cities;
  • Environmental challenges for smart cities;
  • solutions for smart transport and traffic;
  • Solutions for smart mobility and parking;
  • Solutions for smart street lighting infrastructure;
  • Solutions for urban infrastructure management;
  • Solutions for waste management;
  • Integrated renewable solutions based on big data analytics.

Dr. Alexandra Bousia
Prof. Dr. Carlos Tavares Calafate
Dr. Aspassia Daskalopulu
Guest Editors

Manuscript Submission Information

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Keywords

  • smart cities
  • wireless sensor networks
  • Internet of Things
  • urban planning
  • network architectures and protocols
  • smart energy
  • privacy and security
  • mobility management
  • big data analytics

Published Papers (3 papers)

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Research

17 pages, 4765 KiB  
Article
Satellite-Assisted Disrupted Communications: IoT Case Study
by Georgios Koukis and Vassilis Tsaoussidis
Electronics 2024, 13(1), 27; https://doi.org/10.3390/electronics13010027 - 20 Dec 2023
Viewed by 674
Abstract
In recent years, the space industry has witnessed a resurgence, characterized by a notable proliferation of satellites operating at progressively lower altitudes, promising extensive global coverage and terrestrial-level data transfer speeds, while remaining cost-effective solutions. In particular, Wireless Sensor Networks (WSNs) can benefit [...] Read more.
In recent years, the space industry has witnessed a resurgence, characterized by a notable proliferation of satellites operating at progressively lower altitudes, promising extensive global coverage and terrestrial-level data transfer speeds, while remaining cost-effective solutions. In particular, Wireless Sensor Networks (WSNs) can benefit from the wide coverage of space infrastructure due to their extensive deployment, disrupted communication nature, and the potential absence of terrestrial support. This study explored the utility of Low-Earth Orbit (LEO) satellite constellations as a communication infrastructure for interconnecting “smart” devices via ground stations in Internet of Things (IoT) scenarios. To this end, we designed and implemented a series of experiments conducted within the OMNeT++ simulator, utilizing an updated iteration of the original Open Source Satellite Simulator (OS3) framework. Our research encompassed an IoT Case Study, incorporating authentic sensor data sourced from the Smart Santander testbed. Throughout our experimentation, we investigated the impact of the constellation design parameters such as the number of satellites and orbital planes, as well as the inter-satellite link configuration on the obtained Round-Trip Time (RTT) and packet loss rates. Full article
(This article belongs to the Special Issue Wireless Sensor Networks Applications for Smart Cities)
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18 pages, 465 KiB  
Article
An Auction Pricing Model for Energy Trading in Electric Vehicle Networks
by Alexandra Bousia, Aspassia Daskalopulu and Elpiniki I. Papageorgiou
Electronics 2023, 12(14), 3068; https://doi.org/10.3390/electronics12143068 - 13 Jul 2023
Viewed by 806
Abstract
In recent years, the interest in electric vehicles (EVs) in the research community has been growing, particularly in the context of decarbonization. Additionally, there is a growing increase in their number, leading to massive energy demand on the charging stations (CSs). Energy trading [...] Read more.
In recent years, the interest in electric vehicles (EVs) in the research community has been growing, particularly in the context of decarbonization. Additionally, there is a growing increase in their number, leading to massive energy demand on the charging stations (CSs). Energy trading management for CSs puts great pressure on the power grid and is a stimulating challenge in smart cities. In this paper, we propose an innovative market formulation in which autonomous vehicles and smart charging and discharging stations are motivated to cooperate dynamically with changing roles. In order to mathematically formulate the energy trading market, we adopt a double auction strategy that is repeated in steps. In this strategy, EVs and CSs participate by buying and selling energy. The investigated problem has high complexity, and thus, multi-objective optimization is employed so as to encapsulate the opposing objectives that the EVs and CSs have. Multi-objective optimization leads to a fairer and more efficient market operation. The performance of the presented approach is investigated through analytical and experimental results. More specifically, the proposed algorithm achieves up to 52.5% reduction in energy consumption. The performance evaluation proves that the suggested strategy offers both fairness and significant energy benefits, encouraging both electric vehicles and charging stations to take part in a double auction energy trading system. Full article
(This article belongs to the Special Issue Wireless Sensor Networks Applications for Smart Cities)
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22 pages, 13729 KiB  
Article
A Resilient LoRa-Based Solution to Support Pervasive Sensing
by Pietro Manzoni, Salah Eddine Merzougui, Claudio Enrico Palazzi and Paolo Pozzan
Electronics 2023, 12(13), 2952; https://doi.org/10.3390/electronics12132952 - 05 Jul 2023
Cited by 1 | Viewed by 1101
Abstract
Today, billions of small devices that can sense things are connected, creating the Internet of Things (IoT). This major technological step has led to ideas like smart cities, smart factories, and smart countries. One important use of this technology is pervasive sensing, which [...] Read more.
Today, billions of small devices that can sense things are connected, creating the Internet of Things (IoT). This major technological step has led to ideas like smart cities, smart factories, and smart countries. One important use of this technology is pervasive sensing, which could benefit from a network that covers a wide area but does not use much power. This paper looks closely at the advantages and disadvantages of using LoRa—a network technology that can reach long distances with limited energy use—in situations like this. To this aim, we have created a holistic solution to manage the considered network enabling synchronization, routing, and reliability. In particular, we have even developed an adaptive spreading factor mechanism, simple and effective in allowing the network to cope better when the connection is not very good. Full article
(This article belongs to the Special Issue Wireless Sensor Networks Applications for Smart Cities)
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