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Computer Communications

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インパクトファクター:
4.3
出版社:
Elsevier
ISSN:
0140-3664
閲覧:
53070
フォロー:
80

論文募集

Computer Communications 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
最終更新：Dou Sun（）

Special Issues

Special Issue on Selected Papers from the 21th Wireless On-demand Network systems and Services Conference (WONS 2026) 投稿締切日: 2026-07-31 WONS is a small, single track, selective conference that follows and often anticipate the novelties in "On-Demand Networking", i.e., all the topics related to wireless networking outside the main stream of cellular networks and services that are provided where and when they are needed. The Special Issue aims to collect the best papers from WONS and publish an archival version of the research first presented at WONS 2026. Submission is by invitation only. It focuses on different types of wireless LANs, but also 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. Guest editors: Renato Lo Cigno Professor, University of Brescia, Italy, WONS Steering Committee Chair Email: renato.locigno@unibs.itGianluca Rizzo Senior Researcher HES-SO, WONS 2026 General Chair Email: gianluca.rizzo@hevs.ch Leonardo Maccari Associate Professor, University of Venice 'Ca Foscari, Italy, WONS 2026 TPC chair Email: leonardo.maccari@unive.it Omran Ayoub, Associate Professor, SUPSI, Switzerland, WONS 2026 TPC Chair Email: omran.ayoub@supsi.ch 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: WONS 2026” 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 *31/07/2026 Editorial Acceptance Deadline *15/01/2027 Keywords: On-Demand Networks and Services; Future Wireless Networks; Task Specific Networks and Services; Next Generation Mobile Networks
最終更新：Dou Sun（）
Special Issue on Intent-Based Agentic AI for Next-Generation Networking 投稿締切日: 2026-07-31 The evolution of communication systems toward 6G and beyond requires networks that are adaptive, energy-efficient, resilient, and inherently intelligent. Traditional AI models have limitations when applied to dynamic, heterogeneous environments such as 5G/6G, IoT, and the edge-cloud continuum. Agentic Artificial Intelligence (AI), coupled with Intent-Based Networking (IBN), introduces a paradigm where high-level intents can be autonomously interpreted and executed by cognitive agents. These agents reason, learn, and collaborate across decentralized infrastructures, enabling optimized decision-making in real time. This Special Issue aims to provide a platform for advancing the theory, design, and implementation of intent-driven agentic AI in next-generation networking. Guest editors: Dr. Dinesh kumar Sah University of Oulu, Finland Email: dinesh.kumar.sah@mdu.se Dr. Eiman Kanjo Nottingham Trent University, UK Email: eiman.kanjo@ntu.ac.uk Dr. Praveen Kumar Donta Stockholm University, Sweden Email: praveen.donta@dsv.su.se Dr. Eirini Eleni Tsiropoulou Arizona State University, USA Email: eirini@asu.edu Dr. Jiannong Caou The Hong Kong Polytechnic University, Hongkong Email: csjcao@comp.polyu.edu.hk Special issue information: The Special Issue will cover a wide range of topics, but are not limited to, the following: • Architectures for intent-based Agentic AI in wireless and wired networks • Multi-agent reinforcement learning and planning for intent interpretation • Semantic parsing and translation of high-level intents into actionable policies • Knowledge-driven reasoning frameworks for autonomous networking • Distributed and hierarchical Agentic AI for EdgeAI , Continuum Learning, and cloud orchestration • Agentic AI for spectrum management, resource allocation, and scheduling • Intent-driven network slicing and orchestration in 5G/6G environments • Agentic AI-enabled self-configuration and self-healing of networks • Proactive task offloading and workload distribution at the edge-cloud continuum • Federated and collaborative learning for intent-aware agents • Trust, transparency, and explainability in Agentic AI-driven networking • Ethical and governance frameworks for autonomous network agents • Robustness of Agentic AI under adversarial attacks and unexpected conditions • Interoperability of Agentic AI across heterogeneous infrastructures and platforms • Standardization efforts and benchmarking for intent-based AI-driven networks • Data sets, simulation tools, and experimental testbeds for Agentic AI research • Applications of intent-based Agentic AI in industrial IoT and cyber-physical systems • Use of Agentic AI for UAV, vehicular, and satellite communication networks • Context-aware service provisioning for XR, AR/VR, and immersive applications • Case studies and prototypes demonstrating real-world deployment of intent-based Agentic AI • Cross-disciplinary perspectives integrating networking, AI, control theory, and ethics Manuscript submission information: The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from Feburary 05, 2026. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Intent-Based Agentic AI for Next-Generation Networking” 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: 05/02/2026 Final Manuscript Submission Deadline: 31/07/2026 Keywords: Agentic AI, Next-Generation Networking, EdgeAI , internet of things, wireless and wired networks, Multi-agent reinforcement learning, intent interpretation
最終更新：Dou Sun（）
Special Issue on Sustainable Digital Research Infrastructures for the Edge-to-Cloud Continuum 投稿締切日: 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, raffaele.bruno@iit.cnr.it Dr. Kostas Chounos University of Thessaly, Grecce, hounos@uth.gr Dr. Shashikant Ilager University of Amsterdam, Netherlands, s.s.ilager@uva.nl 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
最終更新：Dou Sun（）
Special Issue on Foundation Models and Sim-to-Real Control for Communication-Centric Wireless Perception 投稿締切日: 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, theofanis.raptis@iit.cnr.it Dr. Constantinos Marios Angelopoulos International Hellenic University, Greece, mangelopoulos@ihu.gr Dr. Astghik Hakobyan National Polytechnic University of Armenia, Armenia,astghik.hakobyan@csie.am Dr. Hrant Khachatrian Yerevan State University, Armenia, hrant.khachatrian@ysu.am 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
最終更新：Dou Sun（）

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