The first International Workshop on
Sustainable AI in/for Green Networking
(SAYGreeN 2026)
https://saygreen2026.polito.it/
Co-located with the 24th International Conference on
Pervasive Computing and Communications (PerCom 2026)
March 16th-20th 2026, Pisa, Italy


================ Call for Papers ================
In response to the Sustainable Development Goals and the Paris Agreement, which urge countries to reduce carbon emissions by 45% by 2030 and achieve net zero by 2050, wireless technology is expected to play a crucial role in decreasing greenhouse gas (GHG) emissions across various sectors. It facilitates connectivity for digital solutions, reduces energy consumption, minimizes travel and transportation, and ultimately mitigates GHG emissions. Applications include connecting buildings that manage energy efficiently and enabling vehicle communication to lower fuel consumption and improve routing. Beyond traditional remote and mobile work, which diminishes travel emissions, sectors such as agriculture, healthcare, the sharing economy, and smart cities offer substantial potential for further emission reductions.
Conversely, these services and applications contribute to the growing data traffic managed by wireless networks and the increasing demand for distributed computing capabilities, where wireless networks are playing an increasingly crucial role in edge data processing and offloading, resulting in increased energy consumption. Wireless systems are significant consumers of resources, including electricity and raw materials. The energy demand for these networks is considerable. With rising consumer demand, trends toward utilizing data centres for virtualized mobile networks, and the implementation of Artificial Intelligence solutions for network optimization, which are themselves highly energy-intensive, a concerning increase in energy use by wireless networks is projected for 2035. While the edge network, data centres, and core services account for no more than 25% of energy consumption by network operators, the Radio Access Network (RAN) alone represents 73% of this total. Furthermore, since most current energy supplies are derived from the burning of fossil fuels, addressing this increasing energy demand is crucial for the sustainability of future networks.
Topics of interest of the proposed workshop include, but are not limited to
AI/ML (federated or not) for sustainable networks and greener wireless networks
AI/ML-aided management of aerial networks to support terrestrial network sustainability
AI/ML-aided mobile and multi-access edge computing to enhance sustainability
AI/ML-aided Energy-aware resource allocation and management
AI/ML-aided Energy-aware routing protocols
AI/ML-aided Energy-efficient software implementation
AI/ML-aided Energy harvesting techniques in wireless systems
AI/ML-aided sustainable physical layer design and medium access control
AI/ML-aided Reconfigurable Intelligent Surfaces to enhance wireless network sustainability
AI/ML-aided applications for sustainable and smart cities
AI/ML-aided integration of renewable energy sources to power wireless networks
AI/ML-aided Cross-technology cooperation targeting energy saving and sustainability objectives
Efficient AI/ML-aided energy management in wireless networks
Energy-saving approaches based on learning for cooperation of wireless networks and smart grids
Cross-operator cooperation and network resource sharing to enhance the sustainability of network management, network utilization, or network intelligence
Sustainable AI/ML computing
Sustainable integration of AI/ML in network architectures
Sustainable AI techniques, including for mobile computing and in the compute continuum.
Architectural design and system implementation for sustainable wireless networks and sustainable networked computing systems
Sustainable security & privacy related to the use of AI/ML
Sustainable AI/ML-aided sensing and monitoring
Sustainable AI/ML-aided content delivery
New Key Performance Indicators for energy-aware and sustainability-aware data-driven management of wireless and computational technologies
New Key Performance Indicators for the evaluation of AI and its sustainability
================ Important dates ================
Paper submission deadline: November 17, 2025
Acceptance notification: January 05, 2026
Camera-ready deadline: February 02, 2026

================ Workshop chairs ================
Greta Vallero, Politecnico di Torino, Italy
Daniela Renga, Politecnico di Torino, Italy
Vincenzo Mancuso, Università di Palermo, Italy – IMDEA Networks Institute, Spain