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Smart Urban and IoT: Advances, Opportunities and Challenges

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 3087

Special Issue Editors


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Guest Editor
Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia
Interests: java programming; cloud computing; web development; object-oriented programming; grid computing; LMS; virtualization; software engineering; and Linux administration
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Assistant professor, Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India
Interests: vehicular networks; intelligent transportation system (ITS); cooperative cognitive intelligence; internet of things (IoT) and big data analytics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Information and Communication Engineering, Hohai University, Nanjing 210024, China
Interests: internet of things; industrial internet; machine learning and artificial intelligence; mobile computing; security and privacy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) has completely revolutionized the way devices operate. Instead of humans controlling or monitoring them manually, IoT has now made it possible for machines and devices to act autonomously based on certain parameters. From smart household appliances to massive industrial machines, artificial intelligence and machine intelligence have made it possible for devices to communicate among themselves and with their surroundings. All these efforts boil down to one common use case; that is, to make life easier for humans by letting machines do repetitive and dangerous tasks. This has led to great advances and opportunities in various fields, the most common and interesting of which is smart urban management using IoT.

The applications of smart urban environments using IoT can be broadly classified into those in the home, mobiles, utilities, and enterprises based on coverage, end-user involvement, scalability, heterogeneity, and flexibility. A few well-known examples of home-based smart IoT applications include personal and e-healthcare management systems, and Body Area Networks (BANs). Intelligent video surveillance, smart transportation systems, water distribution and network monitoring, smart electricity grids, etc., fall under the utility segment. Smart roads and intelligent sign boards are particular interesting advances in intelligent transportation systems for smart cities. This is a very significant research direction since the widespread use of autonomous vehicles is not far off. IoT applications in road infrastructure can equip road stretches with smart sensing capabilities able to deliver seamless information in real time for intelligent analysis. A few additional opportunities and advances in road infrastructure for smart urban environments include energy-harvesting road pavements; automatic weighing of vehicles to avoid overloading (static weighing, weight-in-motion, high-speed weigh-in-motion, virtual weigh-in-motion); electrified roads and lanes for EV charging; smart digital traffic signals and signs, smart detection of traffic rule violations; roads equipped with V2X and VANETs, enabling vehicle-to-vehicle communication; smart intersections using sensors, V2I, localization and mapping; intelligent architecture that helps in emergency rescue operations; and smart street lights. Apart from these, a considerable number of advances are emerging in other fields relating to smart urban management, including enhanced metering and security of electricity distribution using smart grids, level monitoring and sensor-enabled solutions for smart water monitoring and management.

In spite of so many fascinating advancements, significant economic and engineering challenges remain in the implementation of smart urban cities using IoT, necessitating further research to address the scalability, reliability and privacy issues arising in smart urban IoT applications. Topics of interest include:

  • Innovative methods to ensure connectivity in smart mobile devices for intelligent V2X in smart cities.
  • Methods to overcome the transition issues in connectivity from device- to network-level data and vice versa.
  • Design of a generic and sustainable Internet of Things architecture for smart urban management.
  • Enhancing the resilience and cybersecurity of smart urban IoT systems.
  • Multimodal traffic using IoT and cloud computing for smart cities.
  • Development of a wireless authentication system for Body Area Networks (BANs) for e-healthcare and telemedicine in a smart connected urban environment.
  • Intelligent protocols and architecture for traffic management in a self-driving futuristic environment.
  • Novel technologies for privacy and crowdsensing in smart urban IoT.
  • Design of an intelligent and safe structural design for IoT-based enterprise-level data management.
  • Leveraging blockchain for improved reliability in smart city applications.

Prof. Dr. Carlos Enrique Montenegro-Marín
Dr. J. Alfred Daniel
Prof. Dr. Guangjie Han
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. Sustainability 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 2400 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

  • IOT
  • cloud computing
  • smart cities
  • blockchain
  • intelligent V2X

Published Papers (2 papers)

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17 pages, 6222 KiB  
Article
A Medium Access Control Protocol Based on Interference Cancellation Graph for AUV-Assisted Internet of Underwater Things
by Jinfang Jiang, Wenxing Tian and Guangjie Han
Sustainability 2023, 15(6), 4876; https://doi.org/10.3390/su15064876 - 09 Mar 2023
Viewed by 959
Abstract
With the booming development of marine exploration technology, new studies such as the oceanix city, smart coastal city, and underwater smart cities have been proposed, and the Internet of Underwater Things (IoUT) has received a lot of attention. Data collection is an important [...] Read more.
With the booming development of marine exploration technology, new studies such as the oceanix city, smart coastal city, and underwater smart cities have been proposed, and the Internet of Underwater Things (IoUT) has received a lot of attention. Data collection is an important application of the IoUT. The common method is to collect data by traversing the network using underwater intelligent devices, such as Autonomous Underwater Vehicles (AUVs). However, traditional data collection methods focus more on issues, such as path planning or the task assignment of AUVs. It is commonly known that the MAC protocol plays a crucial role in data transmission, which is designed to solve the competition issue for shared channels. However, the research on MAC is very challenging owing to the characteristics of hydroacoustic communication, e.g., the low bandwidth, high error rate, and long transmission latency. Hence, this paper proposes a MAC protocol based on an Interference Cancellation Graph (ICG-MAC) for AUV-assisted IoUT. It ensures that AUVs can join the network for data transmission immediately after arriving at the target area and they do not interfere with the normal work of other sensor nodes. Firstly, the target area to be reached by an AUV for data collection is defined according to the node degree and residual energy; then the interference model between neighboring nodes is analyzed and an Interference Cancellation Graphx is established, based on which the time slots are allocated for sensor nodes; and finally, the AUV moves to the target area for conflict-free data collection. The simulation results show that the proposed algorithm outperforms the comparison algorithms in terms of the network throughput and energy consumption. With the assistance of an AUV, better network connectivity and higher network traffic can be obtained. Full article
(This article belongs to the Special Issue Smart Urban and IoT: Advances, Opportunities and Challenges)
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19 pages, 2495 KiB  
Article
Heuristic Surface Path Planning Method for AMV-Assisted Internet of Underwater Things
by Jie Zhang, Zhengxin Wang, Guangjie Han and Yujie Qian
Sustainability 2023, 15(4), 3137; https://doi.org/10.3390/su15043137 - 08 Feb 2023
Cited by 2 | Viewed by 1389
Abstract
Ocean exploration is one of the fundamental issues for the sustainable development of human society, which is also the basis for realizing the concept of the Internet of Underwater Things (IoUT) applications, such as the smart ocean city. The collaboration of heterogeneous autonomous [...] Read more.
Ocean exploration is one of the fundamental issues for the sustainable development of human society, which is also the basis for realizing the concept of the Internet of Underwater Things (IoUT) applications, such as the smart ocean city. The collaboration of heterogeneous autonomous marine vehicles (AMVs) based on underwater wireless communication is known as a practical approach to ocean exploration, typically with the autonomous surface vehicle (ASV) and the autonomous underwater glider (AUG). However, the difference in their specifications and movements makes the following problems for collaborative work. First, when an AUG floats to a certain depth, and an ASV interacts via underwater wireless communication, the interaction has a certain time limit and their movements to an interaction position have to be synchronized; secondly, in the case where multiple AUGs are exploring underwater, the ASV needs to plan the sequence of surface interactions to ensure timely and efficient data collection. Accordingly, this paper proposes a heuristic surface path planning method for data collection with heterogeneous AMVs (HSPP-HA). The HSPP-HA optimizes the interaction schedule between ASV and multiple AUGs through a modified shuffled frog-leaping algorithm (SFLA). It applies a spatial-temporal k-means clustering in initializing the memeplex group of SFLA to adapt time-sensitive interactions by weighting their spatial and temporal proximities and adopts an adaptive convergence factor which varies by algorithm iterations to balance the local and global searches and to minimize the potential local optimum problem in each local search. Through simulations, the proposed HSPP-HA shows advantages in terms of access rate, path length and data collection rate compared to recent and classic path planning methods. Full article
(This article belongs to the Special Issue Smart Urban and IoT: Advances, Opportunities and Challenges)
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