The Second International Workshop on Smart Water Management (SmartWater) 2025

Held in conjunction with the International Federation for Information Processing (IFIP) Networking 2025 Conference (sponsored by IFIP TC6).

Conference Date: 26 - 29 May 2025 // Limassol, Cyprus

The intersection of water scarcity and rapid urbanization, exacerbated by climate change and ageing infrastructure, poses significant challenges to the global water supply. However, the proliferation of sensor technology, IoT, Digital Twin and advancements in artificial intelligence and edge computing provide us with powerful tools to monitor, assess, and manage our water resources more effectively.

This workshop invites research papers on the innovative use of sensor networks and IoT in water distribution management. We are particularly interested in papers that explore the deployment of sensor devices, energy assessment, radio coverage, energy consumption, and novel techniques for water monitoring.
We encourage contributions that investigate novel algorithms in edge and serverless computing, and the cloud-edge continuum. We also welcome experimental work that evaluates contemporary serverless and edge approaches and their applications. The workshop's focus extends to machine learning techniques for processing data at the edge or in a serverless manner. The workshop also emphasizes the integration of Digital Twin technology and smart contracts as elements to revolutionizing water distribution networks.
We are especially interested in papers that address anomaly detection, leakage detection, utility clustering, energy assessment, graph analysis, and machine learning. Papers applying network sensing in assessing and monitoring water quality, quantity, availability, and management to ensure water leakage detection via serverless and edge processing are particularly encouraged.
We welcome papers that explore innovative remote sensing and modelling techniques for water resource management. This could include detecting, quantifying, and monitoring water supply systems, identifying potential threats, and other themes related to water resources and environmental management at various spatial scales.
We look forward to receiving papers that span a wide range of innovative technologies, policies, and emerging systems analysis approaches, applications, and practices for improved monitoring, modelling, digitalization, and management of water resources and infrastructure.
Topics of interest include but are not limited to:
Deployment and energy efficiency of sensor networks in water distribution
IoT applications for water management
Leakage detection techniques and their energy implications
Machine learning applications for data processing at the edge or in a serverless manner
Dataset creation and usage for water management
Exploring the role of IoT sensors in digital transformation
Investigating the role of Digital Twin technology in water management
Benefits of Smart Contracts and Blockchain in the Water Management Pipeline
Advantages of merging IoT sensors with artificial intelligence
Case studies highlighting the implementation of smart water distribution networks

Important dates
Submissions due: April 18, 2025
Acceptance notification: April 25, 2025
Camera-ready paper submission: May 2, 2025

Submitted papers should be written in English by following the IEEE conference format (double-column, 10pt font), with a maximum length limit of 6 (six) printed pages, including all figures, references, and appendices.

Papers should be submitted through EDAS in PDF through the following link:

https://edas.info/newPaper.php?c=33421&track=129128

Only original papers that have not been published or submitted for review elsewhere will be considered for publication in the proceedings.

Papers will appear in the conference proceedings and will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.

At least one author of each accepted paper is required to register and present the work in the workshop.


Workshop General co-chairs
Ph.D. Tiziana Cattai, University of Rome “La Sapienza, Italy
Ph.D. Domenico Garlisi, University of Palermo, Italy