Journal Information

Computer Communications (CC)

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Impact Factor:
4.3
Publisher:
Elsevier
ISSN:
0140-3664
Viewed:
56023
Tracked:
80

Call For Papers

Computer Communications (CC) is an academic journal published by Elsevier. (ISSN 0140-3664, impact factor 4.3, CCF C).

Aims & Scope The International Journal for the Computer and Telecommunications Industry Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today's computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications. Topics include, but are not limited to: Internet of Things Edge/cloud computing Green networking Mobile and ubiquitous networks Terrestrial and Non-terrestrial networks Mobile network services and applications Experimental test-beds and research platforms Algorithmic aspects of communication networks Emerging technologies for next generation network Future Internet architecture, protocols and services Modeling, measurement, and simulation of computer communication networks
Last updated by Dou Sun on

Special Issues

Special Issue on Sustainable Digital Research Infrastructures for the Edge-to-Cloud Continuum Submission Date: 2026-08-30 Digital Research Infrastructures (RIs) underpin modern scientific discovery, enabling data-intensive experimentation, large-scale collaboration, and reproducible research across the edge-to-cloud continuum. As these infrastructures continue to grow in scale and complexity, their environmental footprint, particularly energy consumption and carbon emissions, has emerged as a critical challenge.This Special Issue will provide a focused venue for high-quality contributions on sustainable research infrastructures for the cloud continuum, spanning the physical layer (sites, energy and cooling), the network layer (transport, edge access, monitoring), virtualization and orchestration (VMs, containers, serverless, NFV), data management and scientific workflows, as well as governance, policy, and green-by-design methodologies. The intent is to bridge traditionally siloed communities (networking, distributed systems, e-infrastructures, and sustainability) and to accelerate the transfer of reproducible, evidence-based approaches into operational RIs. Guest editors: Dr. Raffaele R. Bruno Institute for informatics and telematics National Research Council, Italy, [email protected] Dr. Kostas Chounos University of Thessaly, Grecce, [email protected] Dr. Shashikant Ilager University of Amsterdam, Netherlands, [email protected] Special issue information: Digital Research Infrastructures (RIs) are foundational to modern science, enabling data-driven experimentation, reproducibility, and large-scale services across the edge-to-cloud continuum. At the same time, the environmental impact of digital infrastructures is becoming a first-order design and operational constraint. The design and development of reusable methods, metrics, architectures and practices to reduce energy consumption and environmental footprint across RI lifecycles is thus becoming of paramount importance. This Special Issue will provide a focused venue for high-quality contributions on sustainable research infrastructures for the cloud continuum, spanning the physical layer (sites, energy and cooling), the network layer (transport, edge access, monitoring), virtualization and orchestration (VMs, containers, serverless, NFV), data management and scientific workflows, as well as governance, policy, and green-by-design methodologies. The intent is to bridge traditionally siloed communities (networking, distributed systems, e-infrastructures, and sustainability) and to accelerate the transfer of reproducible, evidence-based approaches into operational RIs. The Special Issue will welcome (but is not limited to) the following sub-topics: • Energy and carbon accounting for distributed RIs: measurement, attribution, and uncertainty quantification across sites and services. • Sustainability KPIs and operational dashboards for the cloud continuum (compute, storage, network, accelerators). • Lifecycle-aware design and operation: procurement, embodied carbon, circularity, and end-of-life strategies for RI components. • Energy-aware resource management and orchestration: placement, scaling, admission control, and SLA trade-offs for edge-to-cloud services. • Sustainable networking for RIs: telemetry-driven optimisation, energy-aware routing, and green network function deployment. • Workload-aware power management for heterogeneous resources (CPU/GPU/DPU/SmartNIC), including profiling, scheduling, and consolidation. • Sustainable data pipelines and scientific workflows: data locality, caching, replication, and workflow optimisation under energy constraints. • Green experimentation and reproducibility in testbeds: experiment design, power instrumentation, and FAIR/FACT-aligned sharing of results. • Operational case studies from large-scale RIs, federations, and experimental testbeds (methodologies, lessons learned, and open artefacts). • Policy, governance, and standardisation: compliance, reporting, and incentives for sustainable RI operation. Manuscript submission information: The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from June 6th, 2026. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Sustainable Digital Research Infrastructures” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Communications | Journal | ScienceDirect.com by Elsevier. The impact of SI contributions should be clearly demonstrated in the context of the theme of the special issue. Papers that do not directly address this theme are considered out of scope and are subject to immediate rejection. Keywords: Sustainable Research Infrastructures, Cloud Continuum, Energy-Aware Orchestration, Energy and Carbon Accounting
Last updated by Dou Sun on
Special Issue on Foundation Models and Sim-to-Real Control for Communication-Centric Wireless Perception Submission Date: 2026-08-31 The Special Issue accepts research on Foundation Models and Sim-to-Real Control for Communication-Centric Wireless Perception. Guest editors: Dr. Theofanis Raptis Institute for informatics and telematics National Research Council, Italy, [email protected] Dr. Constantinos Marios Angelopoulos International Hellenic University, Greece, [email protected] Dr. Astghik Hakobyan National Polytechnic University of Armenia, Armenia,[email protected] Dr. Hrant Khachatrian Yerevan State University, Armenia, [email protected] Special issue information: Communication networks are increasingly embedded in autonomous robotic platforms, cyber-physical infrastructures, and large-scale sensing environments. Beyond traditional metrics such as throughput, latency, and reliability, next-generation communication systems must increasingly perceive, interpret, and adapt to their operational environment under uncertainty, partial observability, and distributional shifts. In parallel with the emergence of foundation models and large-scale learning architectures, there is a growing opportunity to rethink communication systems as data-driven, perception-aware, and learning-enabled infrastructures, where sensing, estimation, and decision-making are tightly coupled with protocol design and network optimization. The aim of this Special Issue is to provide a focused venue for research that places communication challenges at the core, while exploring how wireless perception, simulation-to-real transfer, and robust learning methodologies can enhance the design, operation, and reliability of modern communication networks. This special issue seeks high-quality and original technical contributions in the field of Foundation Models and Sim-to-Real Control for Communication-Centric Wireless Perception. Contributions are expected to explicitly address communication-centric problems, such as resource allocation, protocol adaptation, scalability, interoperability, and performance under constrained or degraded network conditions. Manuscripts that do not directly address such themes will be considered out of scope and will be desk rejected. Submissions will be judged on their originality, significance, clarity, relevance, and technical correctness. High-quality survey papers are also welcome. Submitted papers must not be under consideration in any other venue(s). Topics of interests include, but are certainly not limited to:- Foundation models for representative wireless communication and sensing problems - Synthetic data generation, analysis, simulation-to-real transfer, and domain adaptation for wireless and robotic perception - Multi-modal, cross-modal and multi-sensor fusion involving RF, vision, radar, and IoT data - Benchmarking datasets, open repositories, and reproducibility practices in communication-centric wireless perception - Model predictive and learning-enabled control under communication constraints - Data-driven radio frequency perception, localization, radio mapping, and environment reconstruction - Distributionally robust optimization and learning in communication and sensing systems - Risk-aware motion planning and safety-constrained control in networked and wireless robotic platforms - Uncertainty-aware state estimation, Kalman filtering, and partially observable system modeling in dynamic environments - AI methods for operation in jammed, delayed, or infrastructure-degraded communication scenarios - Robotic and UAV platform integration with wireless sensing and communication modules - Interoperability, standardization, and unified data and model interfaces for AI-enabled communication networks Manuscript submission information: The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from May 1st, 2026. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Foundation Models and Sim-to-Real Control” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Communications | Journal | ScienceDirect.com by Elsevier. The impact of SI contributions should be clearly demonstrated in the context of the theme of the special issue. Papers that do not directly address this theme are considered out of scope and are subject to immediate rejection. Timeline: Submission Open Date *01/05/2026 Final Manuscript Submission Deadline *31/08/2026 Editorial Acceptance Deadline *31/01/2027
Last updated by Dou Sun on

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