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Frontier 2021: Internet of Things Technology for Smart Water Application
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Frontier 2021: Internet of Things Technology for Smart Water Application

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 5850

Special Issue Editor

Prof. Dr. Wenyan Wu

E-Mail Website
Guest Editor
School of Engineering and the Built Environment, Birmingham City University, Birmingham, UK
Interests: smart sensor and sensor network; energy efficiency; water distribution system; water quality modelling and calibration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is rapidly gaining ground as a priority, multidisciplinary research topic in many academic and industrial disciplines, especially smart water infrastructures. Due to the rapid proliferation of smart sensors and meters and IoT devices, the Internet of Things- enabled technology is evolving water systems and other infrastructure from conventional operation and maintenance business models to more efficient, sustainable, smart and resilient systems. The successful utilization of IoT-enabled technology in smart water systems will enable them to be faster and more proactive, have a lower overall cost, provide improved business practices and enhance sustainability. Future IoT-enabled infrastructures will be realized to provide timely information communication and effective decision-making for intelligent society and industry.

The goal of this Special Section on the Internet of Things for smart water systems is to bring together researchers and practitioners from both academia and industry into a forum, and to show the state-of-the-art research and applications in utilizing IoT enabled technology for smart water infrastructure, by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.

The theme of the Special Issue (SI) is especially focused on the three major aspects of IoT for water infrastructure: (1) intelligent monitoring with increased security and validity by using a variety of IoT assets or AI technologies, including sensors, devices, Ai and ML; (2) interoperability and data sharing services across IoT infrastructures supporting heterogeneous elements to cooperate seamlessly to share information; (3) creation of ecosystems of “Platforms for Connected Smart Objects”; integrating the future generations of smart devices (i.e. sensors) and network technologies and other evolving ICT advances; (4) data security in cyber–physical systems of smart water infrastructure. The Special issue aims to publish original, significant and visionary articles which present ideas, innovations, and applications of utilizing IoT enabled technology for improving the efficiency, sustainability and reliability of water infrastructure.

The topics of interest include, but are not limited to:

•Intelligent sensing and monitoring techniques and applications in smart water systems

  • Challenges and issues of intelligent sensing and data collection techniques in smart water systems;
  • Integrated communication and distributed computing design for smart water systems;
  • Internet of Things architecture design;
  • Theoretical computing foundation and models in smart water system;
  • Intelligent real time data analytics of smart water system;
  • Security and privacy issues in smart water system;
  • Machine learning techniques in smart water system;
  • Large-scale data analysis;
  • Scalable data and resource management;
  • Robotics and autonomous systems for smart water system;
  • Innovative and cutting-edge technologies;
  • Applications of cyber–physical systems;
  • Blockchain technology application in smart water systems;
  • Interoperability and data sharing services across IoT-enabled smart water systems;
  • Digital Twin for smart water systems.
Prof. Dr. Wenyan Wu
Guest Editor

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. Energies 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

  • Smart water system
  • Smart sensing and monitoring
  • Internet of things (IoT)
  • Artificial intelligence
  • Machine learning
  • Hydroinformatics
  • Cyber physical system

Published Papers (3 papers)

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Research

13 pages, 1725 KiB  
Article
Energy Efficient Communication Design in UAV Enabled WPCN Using Dome Packing Method in Water Distribution System
by Varsha Radhakrishnan and Wenyan Wu
Energies 2022, 15(10), 3844; https://0-doi-org.brum.beds.ac.uk/10.3390/en15103844 - 23 May 2022
Cited by 2 | Viewed by 1486
Abstract
The water distribution system has deployed several low-power IoT devices on an uneven surface where battery power is a major concern. Therefore, this paper focuses on using a UAV-enabled wireless powered communication network capable of directing energy to a target location and using [...] Read more.
The water distribution system has deployed several low-power IoT devices on an uneven surface where battery power is a major concern. Therefore, this paper focuses on using a UAV-enabled wireless powered communication network capable of directing energy to a target location and using it for communication, thereby reducing battery issues. In this paper, a static optimization was applied to find the initial height values using 3D clustering and beamforming method and dynamic optimization using extremum seeking method was applied to find the optimized height. The optimized height values were calculated and Travelling Salesman Problem (TSP) was applied to create the trajectory of the UAV. The overall energy consumption of the UAV was minimized by integrating dynamic optimization and dome packing method, which can find an optimal position and trajectory where the UAV will be hovering to direct energy and collect data. Moreover, we also minimized the total flight time of the UAV. Full article
(This article belongs to the Special Issue Frontier 2021: Internet of Things Technology for Smart Water Application)
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15 pages, 3114 KiB  
Article
Innovative Water Supply Network Pressure Management Method—The Establishment and Application of the Intelligent Pressure-Regulating Vehicle
by Jinliang Gao, Kunyi Li, Wenyan Wu, Jianxun Chen, Tiantian Zhang, Liqun Deng and Ping Xin
Energies 2022, 15(5), 1870; https://0-doi-org.brum.beds.ac.uk/10.3390/en15051870 - 03 Mar 2022
Cited by 1 | Viewed by 1502
Abstract
The development of many intelligent technologies, such as artificial intelligence and the Internet of Things, has brought new opportunities for water industry intelligence. Based on intelligent pressure regulation technology, this paper built an intelligent management platform, designed an intelligent pressure-regulating device, and combined [...] Read more.
The development of many intelligent technologies, such as artificial intelligence and the Internet of Things, has brought new opportunities for water industry intelligence. Based on intelligent pressure regulation technology, this paper built an intelligent management platform, designed an intelligent pressure-regulating device, and combined both to form an intelligent pressure-regulating vehicle (IPRV). The IPRV has the functions of developing a pressure-regulating scheme, equipment selection, pressure reduction potential analysis, etc. It can bring convenience to the field test of the water supply network. In the field test, an intelligent pressure-regulating device was used to obtain the network data in the pilot site called S-cell. After utilizing the intelligent management platform to analyze the measured data, the water usage pattern and pressure reduction potential of the S-cell were obtained, and an optimal pressure-regulating strategy was formulated. The water pressure at the critical node always met the water demand at the critical node during the field test. In addition, no complaints were received from other users. The results show that the IPRV is not only convenient for utility managers to make decisions on building pressure-reducing stations, but also meets user needs, realizing a win–win situation for both users and companies. Full article
(This article belongs to the Special Issue Frontier 2021: Internet of Things Technology for Smart Water Application)
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18 pages, 1533 KiB  
Article
A Time-Series Self-Supervised Learning Approach to Detection of Cyber-physical Attacks in Water Distribution Systems
by Haitham Mahmoud, Wenyan Wu and Mohamed Medhat Gaber
Energies 2022, 15(3), 914; https://0-doi-org.brum.beds.ac.uk/10.3390/en15030914 - 27 Jan 2022
Cited by 9 | Viewed by 2242
Abstract
Water Distribution System (WDS) threats have significantly grown following the Maroochy shire incident, as evidenced by proofed attacks on water premises. As a result, in addition to traditional solutions (e.g., data encryption and authentication), attack detection is being proposed in WDS to reduce [...] Read more.
Water Distribution System (WDS) threats have significantly grown following the Maroochy shire incident, as evidenced by proofed attacks on water premises. As a result, in addition to traditional solutions (e.g., data encryption and authentication), attack detection is being proposed in WDS to reduce disruption cases. The attack detection system must meet two critical requirements: high accuracy and near real-time detection. This drives us to propose a two-stage detection system that uses self-supervised and unsupervised algorithms to detect Cyber-Physical (CP) attacks. Stage 1 uses heuristic adaptive self-supervised algorithms to achieve near real-time decision-making and detection sensitivity of 66% utilizing Boss. Stage 2 attempts to validate the detection of attacks using an unsupervised algorithm to maintain a detection accuracy of 94% utilizing Isolation Forest. Both stages are examined against time granularity and are empirically analyzed against a variety of performance evaluation indicators. Our findings demonstrate that the algorithms in stage 1 are less favored than those in the literature, but their existence enables near real-time decision-making and detection reliability. In stage 2, the isolation Forest algorithm, in contrast, gives excellent accuracy. As a result, both stages can collaborate to maximize accuracy in a near real-time attack detection system. Full article
(This article belongs to the Special Issue Frontier 2021: Internet of Things Technology for Smart Water Application)
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