Blockchain-based Decision Support System for Water Management DOI Open Access

Bogdan-Ionut Pahontu,

Diana-Andreea Arsene,

Alexandru Predescu

et al.

Studies in Informatics and Control, Journal Year: 2023, Volume and Issue: 32(3), P. 131 - 140

Published: Sept. 29, 2023

With significant use in the last few years, Blockchain has become one of most important technologies decade.Due to its new paradigm and decentralized approach, a game changer almost all business domains.Water resources management is areas that were updated with these concepts.The aim this paper present decision support system, developed on top Ethereum infrastructure which would facilitate supplier`s internal flows related water network incident validation.The proposed solution integrates following technology stacks: Cyber-Physical Systems, Crowd-Sensing, Serious Gaming.This was implemented so as work autonomously for some specific take decisions by itself based specifically defined criteria also provide suggestions validators speed up validation data stored exclusively Blockchain.

Language: Английский

Low-Cost Water Quality Sensors for IoT: A Systematic Review DOI Creative Commons

Edson Tavares de Camargo,

Fábio Alexandre Spanhol, Juliano Scholz Slongo

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(9), P. 4424 - 4424

Published: April 30, 2023

In many countries, water quality monitoring is limited due to the high cost of logistics and professional equipment such as multiparametric probes. However, low-cost sensors integrated with Internet Things can enable real-time environmental networks, providing valuable information public. To facilitate widespread adoption these sensors, it crucial identify which accurately measure key parameters, their manufacturers, reliability in different environments. Although there an increasing body work utilizing questions remain unanswered. address this issue, a systematic literature review was conducted determine are being used for remote monitoring. The results show that three primary vendors selected papers. Most range price from US$6.9 US$169.00 but up US$500.00. While papers suggest suitable monitoring, few compare reference devices. Therefore, further research necessary accuracy compared

Language: Английский

Citations

47
IoT Innovations in Sustainable Water and Wastewater Management and Water Quality Monitoring: A Comprehensive Review of Advancements, Implications, and Future Directions DOI Creative Commons
Ahmad Alshami, Eslam Ali, Moustafa Elsayed

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 58427 - 58453

Published: Jan. 1, 2024

This comprehensive review explores IoT innovations in water, wastewater management, and water quality monitoring, emphasizing the transformative potential of these technologies. Combining sociometric systematic (SR) techniques, study analyzes scientometric trends co-occurrence networks linked to topics. Research primarily centers on aspects, averaging 15 articles annually since 2017, peaking at 24 2021. The SR unveils widespread use multiple sensors particularly level, flow, pH sensors. Common wireless technologies are emphasized for their role advancing real-time monitoring. Innovative protocols such as Sigfox Zigbee enhance sensor-IoT connectivity, improving communication infrastructure management. challenges hindering system efficiency data flow include sensor accuracy, energy optimization, reliability, interdisciplinary collaboration, coverage. Addressing gaps is crucial IoT-driven systems enhancing decision-making. guides practitioners integrating automation sustainability

Language: Английский

Citations

14
Reimagining water quality assessment: a nutritional indexing perspective for drinking water resources management DOI
Johnson C. Agbasi, Ahmad Alkasimi, Ahmad F. Turki

et al.

International Journal of Environmental & Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: April 4, 2025

Language: Английский

Citations

2
Blockchain Opportunities for Water Resources Management: A Comprehensive Review DOI Open Access

Talat Kemal Satilmisoglu,

Yusuf Sermet,

Musa Kurt

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2403 - 2403

Published: March 14, 2024

Blockchain technology has been used for the digitalization of physical asset management and data processes in many areas industry academia, including water domain. Its potential as an immutable storage system smart contract integration provided a plethora use cases utility domain hydrology resources. This systematic review critically examines application blockchain field resources hydrology. By analyzing 104 academic publications 37 non-academic studies from 2017 to 15 October 2022, this paper identifies current state applications management, delineates their cases, assesses practical scalability. Despite theoretical promise enhancing governance, security, stakeholder trust, reveals noticeable gap between existence workable, real-time specifically management. The findings indicate that while effectively implemented various sectors, its adoption hydrological is still emerging, with limited empirical evidence support full-scale deployment. concludes call more research validate benefits, address scalability interoperability challenges, integrate networks sustainable practices.

Language: Английский

Citations

9
Using water and wastewater decentralization to enhance the resilience and sustainability of cities DOI Creative Commons
Manel Garrido‐Baserba, David L. Sedlak, María Molinos‐Senante

et al.

Nature Water, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Language: Английский

Citations

7
Performance Evaluation of C/C++, MicroPython, Rust and TinyGo Programming Languages on ESP32 Microcontroller DOI Open Access

Ignas Plauska,

Agnius Liutkevičius, Audronė Janavičiūtė

et al.

Electronics, Journal Year: 2022, Volume and Issue: 12(1), P. 143 - 143

Published: Dec. 28, 2022

The rapid growth of the Internet Things (IoT) and its applications requires high computational efficiency, low-cost, low-power solutions for various IoT devices. These include a wide range microcontrollers that are used to collect, process, transmit data. ESP32 is microcontroller with built-in wireless connectivity, suitable applications. chip gaining more popularity, both in academia developer community, supported by number software libraries programming languages. While low- middle-level languages, such as C/C++ Rust, believed be most efficient, TinyGo MicroPython developer-friendly low-complexity beginners allowing coding. This paper evaluates efficiency available namely C/C++, MicroPython, TinyGo, comparing their execution performance. Several popular data signal processing algorithms were implemented these times compared: Fast Fourier Transform (FFT), Cyclic Redundancy Check (CRC), Secure Hash Algorithm (SHA), Infinite Impulse Response (IIR), Finite (FIR) filters. results show implementations fastest cases, closely followed while programs many slower than other Therefore, Rust languages when response time key factors, Python can less strict system requirements, enabling faster complicated development process.

Language: Английский

Citations

27
An unsupervised method to exploit low-resolution water meter data for detecting end-users with abnormal consumption: Employing the DBSCAN and time series complexity DOI
Hani Ghamkhar, Mohammadreza Jalili Ghazizadeh, Seyed Hossein Mohajeri

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 94, P. 104516 - 104516

Published: March 17, 2023

Language: Английский

Citations

15
AquaMap: Empowering Communities to Report and Map Water-Related Issues in Real-Time with Deep Learning DOI
Harshitha Lakshmi Durga Nalla, Anusha Bhuchupalli, Tejasree Addala

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
IoT in urban development: insight into smart city applications, case studies, challenges, and future prospects DOI Creative Commons
Sayeed Salih,

Abdelzahir Abdelmaboud,

Omayma Husain

et al.

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2816 - e2816

Published: April 29, 2025

With the integration of Internet Things (IoT) technology, smart cities possess capability to advance their public transportation modalities, address prevalent traffic congestion challenges, refine infrastructure, and optimize communication frameworks, thereby augmenting progression towards heightened urbanization. Through sensors, cell phones, artificial intelligence (AI), data analytics, cloud computing, worldwide are evolving be more efficient, productive, responsive residents’ needs. While promise has been marked over past decade, notable especially in realm security, threaten optimal realization. This research provides a comprehensive survey on IoT cities. It focuses IoT-based city components. Moreover, it explanation for integrating different technologies with such as AI, sensing technologies, networking technologies. Additionally, this study several case studies In addition, investigates challenges adopting prevention methods each challenge. future directions upcoming researchers. serves foundational guide stakeholders emphasizes pressing need balanced innovation safety landscape.

Language: Английский

Citations

0
Integrated Approach to Optimizing Selection and Placement of Water Pipeline Condition Monitoring Technologies DOI Creative Commons
Diego Calderon, Mohammad Najafi

Eng—Advances in Engineering, Journal Year: 2025, Volume and Issue: 6(5), P. 97 - 97

Published: May 13, 2025

The gradual deterioration of underground water infrastructure requires constant condition monitoring to prevent catastrophic failures, reduce leaks, and avoid costly unexpected repairs. However, given the large scale tight budgets utilities, it is essential implement strategies for optimal selection deployment technologies. This article introduces a unified framework methods optimally selecting technologies while locating their at most vulnerable pipe segments. approach underpinned by an R-E-R-A-V (Redundant, Established, Reliable, Accurate, Viable) principle asset management concepts. proposed method supported thorough review assessment technologies, as well common sensor placement approaches. selects technology using combination readiness levels SFAHP (Spherical Fuzzy Analytic Hierarchy Process). Optimal achieved with k-Nearest Neighbors (kNN) model tuned minimal topological physical pipeline system features. Feature engineering performed OPTICS (Ordering Points Identify Clustering Structure) evaluating segment vulnerability failure-prone areas. Both are integrated through algorithm. demonstrated modified benchmark network (Net3). results reveal accurate robust performance harmonic mean precision recall approximately 65%. effectively identifies segments requiring failures over period 11 years. benefits areas future exploratory research explained encourage improvements additional applications.

Language: Английский

Citations

0