会议信息
WONS 2026: International Conference on Wireless On-demand Network Systems and Services
https://2026.wons-conference.org/
截稿日期:
2025-10-24
通知日期:
2025-12-20
会议日期:
2026-03-02
会议地点:
Wallis, Switzerland
届数:
21
QUALIS: b4   浏览: 15024   关注: 2   参加: 0

征稿
The WONS conference is a unique occasion to enter in contact with a research community made of highly talented and skilled researchers, in a welcoming and open environment. WONS is known for its engaging discussions with a mix of experienced and young researchers that yearly meet in a wonderful mountain setting to share their progress and advance our research area. Furthermore, selected papers will be invited for an extension for a Special Issue dedicated to WONS in Elsevier Computer Communications.

WONS stands for Wireless On-demand Network systems and Services and focuses on different types of wireless LANs, including NextG cellular, mesh and sensor networks, cloud networks, vehicular networks, non-terrestrial networks, and in-body networks. The challenges of this exciting research field are numerous. They include how to provide robust services in highly dynamic, mobile, and extreme environments, how to minimize energy demands or zero out battery usage in favor of renewable energy sources, how to smartly blend multiple wireless technologies available to a network node, and how to make wireless on-demand networks and services self-configurable, adaptive, self-organizing, and self-healing.

This announcement solicits original contributions of both full length (8 pages) and short paper (4 pages). Topics of interest comprise, but are not limited to:

    5G and 6G networks
    Autonomous Vehicles and Self-Driving Networks
    Cloud/edge/fog computing and networking
    Cognitive radio networks
    Connecting the unconnected: on-demand networks for the next billion
    Cross-layer design
    Data analytics and ML/AI-driven network systems
    Digital Twins and Simulation-Based Design
    Federated and Distributed Learning for Network Intelligence
    Green Communications and Networking
    Heterogeneous wireless networks
    Joint communications, networking, and sensing
    Implementations and testbeds
    Internet of Things
    Intra-body and biomedical on-demand systems
    Integrated Access and Backhaul technologies
    Integration of different wireless technologies
    Localization and mobility management
    Metaverse-Ready and XR Networking
    Mobile computing and services
    Machine learning for wireless communications and networking
    Network and service management
    Network configuration, analysis and management via AI
    Network function virtualization and software-defined networking
    Non-terrestrial (aerial, space, underwater) networks
    Novel architectures, protocols, applications, and services
    Open source networking software and hardware, and open data
    Open source radio software
    Open programmable radio access networks (Open RAN)
    Optical and visible light wireless networks
    Performance evaluation through simulations, emulations, and real-world experiments
    Pervasive and ubiquitous computing
    Quantum networking and quantum key distribution
    QoS and QoE aspects
    Resilient and self-healing networks
    Security, privacy, and trust
    Social and economic aspects
    Tactile Internet
    Theoretical and data-driven modeling and optimization
    Trustworthy and Explainable AI in Networking
    Vehicular networks
    Wireless technologies for NextG networks (millimeter-wave, terahertz, …)
    Wireless networking for AI application

We encourage submissions that address these topics from both theoretical and practical perspectives, and that present innovative solutions, algorithms, methodologies, and case studies.

The added value of WONS has always been the community, therefore WONS is an in-person conference.
最后更新 Dou Sun 在 2025-09-22
录取率
时间提交数录取数录取率(%)
2021652436.9%
2019702941.4%
2018683247.1%
2017623150%
2016712636.6%
2014481429.2%
2013462043.5%
2012552341.8%
2011411434.1%
2010471531.9%
2009541833.3%
2008491836.7%
2007572442.1%
2006562442.9%
2005953132.6%
2004772532.5%
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