Conference Information

ICCCN' 2021: International Conference on Computing and Communication Networks

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Submission Date:
2021-07-31
Notification Date:
2021-08-31
Conference Date:
2021-11-19
Location:
Manchester, UK
Viewed: 10973   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.3 / 100
Ranked #4,026 of 5,655 conferences · Top 72%

#635 of 862 in Networks & Communications

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
10
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-09

Call For Papers

ICCCN' 2021 (International Conference on Computing and Communication Networks) is an academic conference held in Manchester, UK on 2021-11-19. The paper submission deadline is 2021-07-31. Acceptance notifications are sent on 2021-08-31.

ICCCN-2021, International Conference on Computing and Communication Networks, is a premier international conference dedicated to addressing various topics of Computing and Communication Networks. It allows participants an opportunity to discuss the recent developments in the field of solidification computer science and management and review challenges faced by the community in the 21st century. The different tracks were Network and Computing Technologies, Advances in AI & ML, Emerging topics in 5G/6G Communication Systems, Cyber-Physical Systems, Emerging Trends in Data Analytics, Cyber Security for 4.0, Smart and Sustainable Environment Systems and Security & Privacy. Over the years, it has become mandatory for disseminating the latest research results in these fields. Papers describing original research work and practical experiences/experimental results are solicited on topics that tentatively include, but are not limited to: * Parallel & Distributed Networks * Computational Intelligence, Advancement in AI and Machine Learning (ML) Technologies * Vehicular Ad-hoc Networks * Mobile & Ubiquitous Computing * Distributed Computing, Edge Computing, Fog Computing, Cloud & Big Data Technologies * Blockchains in Distributed Computing and Networking * Expert System & Decision Support Systems * Cognitive Networking * AI for low complexity in B5G/6G * AI-empowered dynamic function splitting in Green B5G/6G networks * Technologies, concepts, and theories for integrated AI and Green B5G/6G networks * Multiple Access schemes suitable to 6G * Novel signal processing techniques for 6G communications * Security and Privacy in Mobile and Wireless communications * Security and Privacy preservation in 5G networks * Integrated design methods for Cyber-Physical Systems * Security and Privacy for Cyber-Physical System * Internet of Things and Cyber-Physical Systems * Industry 4.0 cybersecurity challenges * Machine Learning in Distributed Computing and Networking * Security Threats and Vulnerabilities of IIoT * Network Function Virtualization and Software-Defined Networking * Network Security for Industry 4.0. * Smart Agriculture and Water Management * Fog/Edge computing and Caching techniques * Transportation systems * Smart sensory augmentation and smart spaces * Ultra-low-power IoT Technologies and Embedded Systems Architectures * Sentiment analysis techniques on social media * Vehicular Networks, Smart Grids, and Smart City Applications * Multi-modal support for data analytics
Last updated by Dou Sun on

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