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WoWMoM 2026 : World of Wireless, Mobile and Multimedia Networks

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Conference Series : World of Wireless, Mobile and Multimedia Networks
 
Link: https://www.cs.unibo.it/wowmom2026/
 
When Jun 16, 2026 - Jun 19, 2026
Where Bologna, Italy
Abstract Registration Due Dec 5, 2025
Submission Deadline Dec 15, 2025
Notification Due Feb 19, 2026
Final Version Due Apr 18, 2026
Categories    5g/6g networks   mobile social networks   wearable computing   connected mobility
 

Call For Papers

IEEE WoWMoM 2026 is soliciting original and previously unpublished papers addressing research challenges and advances in the areas of wireless, mobile, and multimedia networking as well as ubiquitous and pervasive systems and applications. Wireless networking technologies are continuously evolving and have become a critical part of modern life, be it for communication services, media distribution, or sensing and actuation services within the Internet of Things (IoT). Appropriate resource management, application design, and architectural networking paradigms are necessary to provide users with high quality experience in multimedia communication and services. Edge computing, machine learning and artificial intelligence (AI) techniques are becoming essential tools to cope with the increasing diversity of connected devices and the plethora of new data-intensive and latency-sensitive applications. At the same time, the interoperability among IoT environments (including wearable computing and sensors), the network edge, and the cloud are evolving towards an IoT-edge-cloud continuum that is expected to support a wide range of application domains and services in a seamless and efficient manner. In this context, providing rich sets of measurements for characterizing and understanding the behavior of such complex systems is of paramount importance.

IEEE WoWMoM 2026 takes a broad view and seeks papers describing innovative research contributions to the field of mobile and wireless networking and applications. We solicit papers that present original work, validated by experimentation, simulation or analysis. We also welcome practical experiences and experimental efforts from both industry and academia, duly documenting the lessons learned and open datasets from testbeds, field trials, or real deployments.

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