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:

    Emerging technologies for next generation network
    LAN/WAN/MAN
    Future Internet architecture, protocols and services
    Content- and service-centric architecture
    Mobile and ubiquitous networks
    Self organizing/autonomic networking
    Green networking
    Internet content search
    QoS and multimedia networking
    Opportunistic networking
    On-line social networks
    Internet of things
    Public safety communication networks
    Network applications (web, multimedia streaming, VoIP, gaming, etc.)
    Trust, security and privacy in computer and communication networks
    Modeling, measurement and simulation
    Complex network models
    Internet socio-economic models
    Experimental test-beds and research platforms
    Algorithmic aspects of communication networks
    Network scaling and limits

Special Issue on Advancing Real-time Analytics in Industrial Internet-of-Things
Día de Entrega: 2024-04-30

The Industrial Internet-of-Things (IIoT) revolutionizes industry with advanced connectivity and real-time analytics, turning sensor data into immediate, actionable insights for better operations. Real-time analytics is key to preventing downtime and managing risks, but integrating it with IIoT involves challenges such as ensuring data integrity, meeting computational demands, securing the system, and overcoming network delays. Robust, efficient network design is essential for smooth data flow and overcoming these challenges is crucial for leveraging real-time analytics' full benefits in IIoT.

This special issue aims to provide a comprehensive exploration of real-time analytics in IIoT, its potential, challenges, and the innovative solutions emerging in the domain. Topics of interest include, but are not limited to:

Foundations of Instant Data Interpretation in IIoT
Edge and Fog Computing for Real-Time Insights in IIoT
Energy-Efficient Real-Time Analytics in IIoT
Low Latency and Robust Data Transfer Network Architectures for IIoT
Data Integrity and Reliability in Real-Time Data Streams
Privacy-Preserving Techniques for Real-Time Analytics in IIoT
Real-Time AI-Driven Decision-Making and Anomaly Detection in IIoT
Scalability in Large-Scale IIoT Real-Time Analytics
Timely and Reliable Data Services in IIoT
Integration of 5G and Beyond for Accelerated Analytics
Case Studies of Real-World Successes and Challenges in IIoT Real-Time Analytics

Guest editors:
Long Cheng, PhD
North China Electric Power University, Beijing, China 
Anca Jurcut, PhD
University College Dublin, Dublin, Ireland
Qingzhi Liu, PhDWageningen University, Wageningen, Netherlands 

Special Issue on Design of High-Reliability Communication Networks
Día de Entrega: 2024-05-10

The special issue serves as a vehicle for collection of novel scientific contributions to the state-of-the-art in the design of reliable communication networks. The interested topics include, but not limited to, Resilience in 5G/6G networks and services, Deterministic and time sensitive networking, High dependability in aerial, edge, and cloud computing, Planning and optimization of reliable networks, systems, and services, Resilience of networked critical infrastructures, Communication reliability for smart systems (cities, transport, logistics, etc.), Network security issues in the context of reliability and survivability, and Ultra reliable and low latency communication (URLLC) under 5G.

Guest editors:

Pin-Han Ho, Ph.DUniversity of Waterloo, Waterloo, Canada(Computer networks, wireless communications, Internet of things)

Suresh Subramaniam Ph.D.George Washington University, Washington, USA(Computer networks, Internet, mobile systems)
Manuscript submission information:

This Special Issue is by invitation-only. Please refer to the Guide for Authors to prepare your manuscript. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Communications | Journal | ScienceDirect.com by Elsevier.

Timeline:
Submission Open Date *10/03/2024
Final Manuscript Submission Deadline *10/05/2024
Editorial Acceptance Deadline *30/06/2024 

Special Issue on Artificial Intelligence Meeting Green Edge-Cloud Computing
Día de Entrega: 2024-07-15

Edge-Cloud Computing (ECC) is an emerging distributed paradigm to implement edge offloading, in which complex tasks are migrated from IoT devices to edge-cloud servers. In particular, Green Edge-Cloud Computing (GECC) is a novel concept focused on the core problem of energy management in the whole architecture, that is closely related to task dispatch, resource scheduling, network communication and so on. It is obvious that GECC holds great promise in energy-sensitive domains, such as smart grid, Internet of vehicles, healthcare. With the great development of intelligent algorithms, AI is a powerful analysis technology that is well applied to dealing with the energy management in GECC. It is efficient to utilize deep learning to implement the task allocation of edge servers and reduce the energy consumption of the whole system.

Guest editors:

Xiaokang Zhou, Ph.D
Shiga University, Hikone, Japan(Ubiquitous Computing, Big Data, Machine Learning）

Xiaolong Xu, Ph.D
Nanjing University of Information Science and Technology, Nanjing, China(Edge Intelligence, Big Data, Service Computing)

Zheng Yan, Ph.D
Aalto University, Aalto, Finland(trust, security, privacy, and security-related data analytics)

Ke Yan, Ph.D
Hunan University, Hunan, China(Machine Learning, Cyber Intelligence, Applied Mathematics, Sustainability and Applied Energy) 

Special Issue on Smart Blockchain Network Empowered Metaverse and Web 3.0
Día de Entrega: 2024-08-31

Metaverse and Web 3.0 are two emerging technologies that are expected to revolutionize the digital world and future society in the coming years. The Metaverse aims to seamlessly integrate the physical and cyber worlds by digitizing physical objects to create digital twins. On the other hand, Web 3.0 represents a decentralized Internet paradigm, constructed on blockchain networks, where users retain ownership of their generated data. This data can be intelligently stored and processed in a decentralized manner, utilizing artificial intelligence and machine learning technologies. These technologies enable users to interact within the cyber world, maintaining ownership of their generated data. This paradigm shift necessitates a convergence of communication, networking, computing, and storage in a decentralized manner, with blockchain technology playing a pivotal role in establishing this zero-trust environment.

However, to meet these requirements, blockchain technologies face significant challenges in scalability, high-throughput, trust establishment, and application exploration. A variety of service functions will need to be integrated into the network via smart contracts. Incentives and consensus algorithms will need to be designed for function and content sharing. Furthermore, blockchains must be interoperable to facilitate service provision among users across diverse blockchains. The computations within the smart contract should be completed through efficient resource allocation and collaboration between edge and cloud environments. Additionally, robust security and privacy policies must be enforced to protect assets and users' private information, thereby enabling a trustworthy cyber world.

We believe this special issue will shed more light on the recent advances in smart blockchain technologies for Metaverse and Web 3.0. Topics of interest include, but are not limited to:

New blockchain architecture for Metaverse and Web 3.0
Decentralized data management and analysis in Metaverse and Web 3.0
Decentralized identifiers (DID) for Metaverse and Web 3.0
Incentive and consensus algorithms in Metaverse and Web 3.0
Function-embedded smart contract for Metaverse and Web 3.0
Blockchain with edge-cloud collaboration in Metaverse and Web 3.0
Blockchain with AIGC
AI-driven blockchain for Metaverse and Web 3.0
Integration between networking and blockchain in Metaverse and Web 3.0
Data security challenges and solutions for Metaverse and Web 3.0
Data privacy protection in Metaverse and Web 3.0
System performance optimization for Metaverse and Web 3.0
Blockchain Interoperability in Metaverse and Web 3.0
Systems and platforms for Metaverse and Web 3.0