Applications of Sensor Networks and Systems in Smart Cities

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".

Deadline for manuscript submissions: closed (15 April 2022) | Viewed by 8166

Special Issue Editors


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Guest Editor

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Guest Editor
Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Interests: intelligent systems for the management of road traffic and transport infrastructure networks; automated vehicle systems
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Special Issue Information

Dear Colleagues,

Human habits are undergoing a profound transformation in the sense that we are currently witnessing a rapid increase in the growth rate of permanent residence in urban areas, resulting in the migration of populations in search of more fulfilling jobs and higher education.

Currently, more than 50% of the world's population resides in cities. Therefore, these cities must possess increasingly advanced requirements to maintain the quality of life and services for citizens at the highest level; for these reasons, local administrations and municipal foundations are extended as much as possible to ensure improved adaptability and safety conditions.

With the massive diffusion of information and communication technologies or “Information and Communications Technology” (ICT) in modern societies, people have actively adopted the services provided by these technologies to improve their quality of life; as a result, the cities in which they live have increased their interest in these issues, implementing new services that can facilitate the daily life of each citizen.

ICT technologies in the urban environment have rendered cities increasingly intelligent. The concept of the “Smart City” (SC) is typically used to refer to these cities, i.e., high-tech cities that offer the collection, analysis, and distribution of information to make the best use of public resources and increase the quality of services provided to citizens. All this is achieved by providing the city with a myriad of sensors designed to evaluate all physical quantities with regard to the performance parameters of citizens' services.

In this context, it is essential to carry out an analysis of the results obtained in the different implementation scenarios in terms of interoperability, reliability, and efficiency, in order to evaluate which of the different technologies present in the literature and elsewhere may represent the most appropriate choice for the implementation of systems based on sensor networks in smart cities.

Prof. Dr. Giovanni Pau
Dr. Fabio Arena
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 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 city (SC)
  • sensor networks (SN)
  • information and communications technology (ICT)
  • Internet of Things (IoT)
  • intelligent transportation systems (ITS)
  • smart mobility

Published Papers (2 papers)

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Research

13 pages, 4939 KiB  
Article
Sentiment Analysis of Social Survey Data for Local City Councils
by Marianna Lepelaar, Adam Wahby, Martha Rossouw, Linda Nikitin, Kanewa Tibble, Peter J. Ryan and Richard B. Watson
J. Sens. Actuator Netw. 2022, 11(1), 7; https://0-doi-org.brum.beds.ac.uk/10.3390/jsan11010007 - 12 Jan 2022
Cited by 4 | Viewed by 3384
Abstract
Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on [...] Read more.
Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on carrying out a sentiment analysis from social surveys. Data analysis techniques using RStudio and Python were applied to several open-source datasets, which included the 2018 Social Indicators Survey dataset published by the City of Melbourne (CoM) and the Casey Next short survey 2016 dataset published by the City of Casey (CoC). The qualitative nature of the CoC dataset responses could produce rich insights using sentiment analysis, unlike the quantitative CoM dataset. RStudio analysis created word cloud visualizations and bar charts for sentiment values. These were then used to inform social media analysis via the Twitter application programming interface. The R codes were all integrated within a Shiny application to create a set of user-friendly interactive web apps that generate sentiment analysis both from the historic survey data and more immediately from the Twitter feeds. The web apps were embedded within a website that provides a customisable solution to estimate sentiment for key issues. Global sentiment was also compared between the social media approach and the 2016 survey dataset analysis and showed some correlation, although there are caveats on the use of social media for sentiment analysis. Further refinement of the methodology is required to improve the social media app and to calibrate it against analysis of recent survey data. Full article
(This article belongs to the Special Issue Applications of Sensor Networks and Systems in Smart Cities)
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21 pages, 1245 KiB  
Article
A Novel Energy-Efficient Clustering Algorithm for More Sustainable Wireless Sensor Networks Enabled Smart Cities Applications
by Zahid Yousif, Intesab Hussain, Soufiene Djahel and Yassine Hadjadj-Aoul
J. Sens. Actuator Netw. 2021, 10(3), 50; https://0-doi-org.brum.beds.ac.uk/10.3390/jsan10030050 - 19 Jul 2021
Cited by 13 | Viewed by 3403
Abstract
Wireless Sensor Networks (WSNs) is a major sensing technology that has revolutionized the way information is collected, processed, and used in many smart cities’ applications that rely on sensing technologies for event detection and monitoring. Despite the multiple benefits that such technology offers, [...] Read more.
Wireless Sensor Networks (WSNs) is a major sensing technology that has revolutionized the way information is collected, processed, and used in many smart cities’ applications that rely on sensing technologies for event detection and monitoring. Despite the multiple benefits that such technology offers, the quick depletion of sensors’ battery power represents a major concern, mainly due to the extensive computational tasks and communication operations performed by individual sensors. Indeed, the cost of replacing batteries can be prohibitively expensive, especially when sensors are deployed in areas where access is difficult, in urbanized cities. To extend sensors’ lifetime, this paper proposes a new variant of LEACH protocol named LEACH enhanced with probabilistic cluster head selection (LEACH-PRO). LEACH-PRO introduces several measures to extend WSNs nodes’ lifetime such as cluster head node selection using a probabilistic function based on maximum residual energy and minimum distance to the sink. The obtained simulation results have proven the supremacy of LEACH-PRO over LEACH and direct transmission protocol in terms of the achieved network lifetime and the generated traffic overhead. Most importantly, LEACH-PRO will significantly extend the sensors’ lifetime, which would make this type of deployment more viable in smart city scenarios. Full article
(This article belongs to the Special Issue Applications of Sensor Networks and Systems in Smart Cities)
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