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

This workshop invites research papers that delve into 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.

We are especially interested in papers that address 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 modeling 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, modeling, digitalization, and management of water resources and infrastructure.

This workshop will be held exclusively in-person.
Topics of interest:

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 serverless manner
Dataset creation and usage for water management
Exploring the role of IoT sensors in the digital transformation
Advantages of merging IoT sensors with artificial intelligence
Case studies highlighting the implementation of smart water distribution networks

Important Dates

Paper submission deadline: April 19, 2024
Notification of acceptance: April 29, 2024
Camera-ready deadline: May 6, 2024

Paper submission

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://www.edas.info/newPaper.php?c=31469&track=123077

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.

TPC Co-Chairs

Tiziana Cattai, Sapienza University of Rome, Italy
Domenico Garlisi, University of Palermo, Italy