Conference Information
INFOCOM 2025: International Conference on Computer Communications
https://infocom2025.ieee-infocom.org/
Submission Date:
2024-07-24
Notification Date:
2024-12-06
Conference Date:
2025-05-19
Location:
London, UK
Years:
44
CCF: a   CORE: a*   QUALIS: a1   Viewed: 1172867   Tracked: 491   Attend: 69

Call For Papers
IEEE INFOCOM 2025 is scheduled to take place in London, United Kingdom. This event will be conducted in person, allowing attendees to fully immerse themselves in the conference experience. However, we understand that some authors may encounter travel difficulties, such as obtaining visas. In such cases, assistance for remote presentation of their papers will be considered upon approval by the General Chairs. Virtual participation in the conference will no longer be supported.

IEEE INFOCOM is a top-ranked networking conference of the IEEE Communications Society. IEEE INFOCOM 2025 solicits research papers describing significant and innovative research contributions to the field of computer and data communication networks. We invite submissions on a wide range of research topics, spanning both theoretical and systems research. Topics include but are not limited to:

    Artificial Intelligence/Machine learning for networking
    Cellular wireless broadband systems, including 6G and beyond
    Censorship circumvention and net neutrality
    Challenging Network Environments (underwater, underground)
    Cloud computing/mobile cloud computing
    Cross-layer designs
    Cyber-physical network systems
    Datacenter networking
    Dynamic spectrum sharing
    Edge and fog computing/networking
    Extremely high-frequency communications (mmWave, THz)
    Fault tolerance, reliability, and survivability
    Full duplex communication networks
    Green networks
    Information-centric networking
    Interference management and mitigation
    Internet architectures
    Internet of Things
    Large-scale MIMO-based networking
    Localization and location-based services
    Medium access control
    Mobile sensing and applications
    Mobility management and models
    Multimedia networking
    Network economics and pricing
    Network management
    Network measurement and analysis
    Network security and privacy
    Network support for VR/AR
    Network virtualization
    Networked autonomous aerial/terrestrial/underwater systems
    Non-terrestrial networks
    Online social networks
    Optical networks
    Overlay and peer-to-peer networks
    Quality-of-service and resource management
    Quantum networking
    Radio Frequency Identification (RFID) and Near-Field Communication (NFC)
    Router and switch design
    Routing and multicast
    Scaling laws and fundamental limits
    Software-defined networking (SDN)
    Tactile Internet
    Testbeds, experimentations, and networked experimental platforms
    Ultra-Reliable Low-Latency Communications (URLLC)
    Vehicular networks
    Visible light communications (VLC)
    Web applications and content distribution
    Wireless local/personal area networks

IEEE INFOCOM incorporates a rigorous double-blind review process. The review assignment will be based on the view assignment system described in the following paper, which analyzes the submitted manuscripts and the representative publications of TPC members and matches the submissions to TPC members’ expertise and interests. 

B. Li and Y.T. Hou. “The new automated INFOCOM review assignment system,” IEEE Network, vol.30, no.5, pp.18-24, Sept./Oct. 2016.
http://ieeexplore.ieee.org/document/7579022/

Papers that present data that include experiments on or with humans or animals and/or presentation or analysis of personally identifiable information, including aggregated data, must have the appropriate approval from the author(s)’ institution(s). An explicit statement about the approval must be included in the paper (with appropriate anonymization in the paper submitted for review).
Last updated by Dou Sun in 2024-07-02
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2018160630919.2%
2017139529220.9%
2016164430018.2%
2015164031619.3%
2014164532019.5%
2013161328017.4%
2012154727818%
2011182329116%
2010157527617.5%
2009143528219.7%
2008116023620.3%
2007140025218%
2006140025218%
2005141924417.2%
2004142026118.4%
2003107822420.8%
200293819220.5%
200183019223.1%
200073519226.1%
199960018430.7%
199880017221.5%
199752416731.9%
199659017629.8%
199547015633.2%
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