COMPUTER COMMUNICATIONS

Scope & Guideline

Advancing the Frontiers of Computer Networking

Introduction

Explore the comprehensive scope of COMPUTER COMMUNICATIONS through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore COMPUTER COMMUNICATIONS in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0140-3664
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1978 to 2024
AbbreviationCOMPUT COMMUN / Comput. Commun.
Frequency18 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Computer Communications' focuses on publishing high-quality research in the field of computer networks and communications. It encompasses a broad range of topics that reflect the latest advancements in the field, with an emphasis on both theoretical and practical aspects of communication technologies.
  1. Network Security and Privacy:
    Research related to securing communication networks, including intrusion detection systems, privacy-preserving protocols, and techniques to mitigate various types of cyber attacks.
  2. Wireless Communication and Networking:
    Studies focusing on various aspects of wireless technologies, including but not limited to IoT, UAV communications, 5G, and beyond, as well as protocols and optimizations for these networks.
  3. Resource Management and Optimization:
    Investigations into efficient resource allocation strategies for networks, including load balancing, energy efficiency, and task offloading in edge computing environments.
  4. Blockchain Technologies in Networks:
    Exploration of blockchain applications in network security, access control, and data integrity, addressing the challenges and opportunities of integrating blockchain with existing network architectures.
  5. Machine Learning and AI in Networking:
    Application of machine learning and artificial intelligence techniques for enhancing network performance, anomaly detection, and predictive maintenance.
  6. Quality of Service (QoS) and Quality of Experience (QoE):
    Research focused on ensuring optimal user experiences through QoS and QoE metrics in various networking contexts, including multimedia and IoT.
  7. Network Protocols and Architectures:
    Development and analysis of new protocols and architectures for improving communication efficiency, reliability, and scalability in diverse networking scenarios.
In recent years, 'Computer Communications' has seen a notable shift towards emerging themes that reflect the latest technological advancements and societal needs. These trends indicate a growing interest in integrating new paradigms and methodologies into the field of communications.
  1. Edge Computing and Multi-Access Edge Computing (MEC):
    Research on edge computing is rapidly increasing, focusing on how to optimize resource allocation and task offloading in proximity to end-users, enhancing performance and reducing latency.
  2. Integration of AI and Machine Learning:
    There is a significant trend towards utilizing AI and machine learning techniques to improve network management, predictive maintenance, and anomaly detection, reflecting a broader industry shift.
  3. 5G and Beyond Technologies:
    Research focusing on the challenges and advancements of 5G networks, including resource slicing, network management, and new application scenarios such as smart cities and industrial IoT.
  4. Blockchain Applications in Networking:
    Emerging studies are increasingly exploring blockchain technology for enhancing security, privacy, and trust in communication networks, paving the way for decentralized applications.
  5. Internet of Things (IoT) Innovations:
    With the proliferation of IoT devices, research is trending towards developing protocols and frameworks that can effectively manage and secure the communication among these devices.
  6. Cybersecurity in Emerging Technologies:
    A growing focus on cybersecurity measures specifically tailored for new technologies such as IoT, 5G, and edge computing, addressing unique vulnerabilities.
  7. Quality of Service (QoS) and Quality of Experience (QoE) Enhancements:
    Research is increasingly aimed at optimizing user experiences in multimedia streaming and other applications, focusing on metrics that improve satisfaction in real-time communication.

Declining or Waning

As the field of computer communications evolves, certain themes have begun to decline in prominence within the journal's recent publications. This shift may reflect changing priorities in research focus and technological advancements.
  1. Traditional Networking Protocols:
    Research on legacy protocols and older networking standards is becoming less frequent as the focus shifts to modern and emerging technologies such as SDN, NFV, and 5G.
  2. Local Area Networking (LAN) Technologies:
    Studies specifically targeting traditional LAN technologies are waning as research increasingly emphasizes wide area and mobile networks, particularly in the context of IoT and cloud computing.
  3. Static Resource Allocation Models:
    Static approaches to resource allocation are being replaced by dynamic and adaptive models that better suit the needs of modern, heterogeneous networks.
  4. Basic Cybersecurity Measures:
    While cybersecurity remains a core focus, basic measures such as firewalls and simple encryption techniques are being overshadowed by more advanced, adaptive security frameworks.
  5. Theoretical Models without Practical Applications:
    Research that remains purely theoretical without practical implementations or real-world applications is seeing reduced interest, as practitioners seek actionable insights.

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