International Journal of Communication Networks and Distributed Systems

Scope & Guideline

Connecting Research with Real-World Applications

Introduction

Explore the comprehensive scope of International Journal of Communication Networks and Distributed Systems 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 International Journal of Communication Networks and Distributed Systems in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1754-3916
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountrySwitzerland
TypeJournal
Convergefrom 2008 to 2024
AbbreviationINT J COMMUN NETW DI / Int. J. Commun. Netw. Distrib. Syst.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Communication Networks and Distributed Systems focuses on advancing knowledge in the fields of communication networks and distributed systems, emphasizing innovative methodologies and applications.
  1. Communication Network Optimization:
    The journal aims to explore optimization techniques for various types of communication networks, including wireless sensor networks, vehicular ad hoc networks, and cloud-based systems.
  2. Distributed Systems and Management:
    Research focusing on the design, management, and optimization of distributed systems is a core area, including topics like resource allocation, load balancing, and policy hierarchies.
  3. Security and Privacy in Networks:
    A significant emphasis is placed on security protocols, threat detection, and privacy preservation in various networking contexts, including IoT and cognitive radio networks.
  4. Emerging Technologies and Applications:
    The journal covers advancements in emerging technologies such as 5G, machine learning, and blockchain, particularly their applications in communication networks and distributed systems.
  5. Performance Evaluation and Analysis:
    Methodologies for evaluating the performance of networks and systems are frequently addressed, including simulations, analytical models, and experimental studies.
The journal has identified several trending and emerging themes that reflect the evolving landscape of communication networks and distributed systems research.
  1. Machine Learning and AI in Networking:
    The integration of machine learning and artificial intelligence in network management and optimization is rapidly gaining traction, indicating a shift towards more intelligent systems.
  2. Blockchain Technology Applications:
    Research on blockchain's applications in enhancing security and privacy within networks is emerging as a critical area of focus, particularly in IoT and smart grid environments.
  3. Energy Efficiency and Sustainability:
    There is an increasing emphasis on energy-efficient protocols and sustainable practices within communication networks, driven by the need for greener technologies.
  4. Network Security and Threat Mitigation:
    The focus on advanced network security, including complex threat detection and mitigation strategies, is becoming more prominent as cyber threats evolve.
  5. 5G and Beyond Technologies:
    With the rollout of 5G, research on its implementation, capabilities, and challenges is trending, alongside the exploration of next-generation networking technologies.

Declining or Waning

While the journal continues to grow in various areas, certain themes appear to be experiencing a decline in focus, reflecting shifts in research priorities and technological advancements.
  1. Traditional Network Protocols:
    There has been a noticeable reduction in publications focusing solely on traditional network protocols, as research increasingly shifts towards more adaptive and intelligent systems.
  2. Basic Security Mechanisms:
    The focus on basic security mechanisms is waning, as newer, more sophisticated approaches to security and privacy are being developed and prioritized.
  3. Static Network Models:
    Research centered on static network models is becoming less frequent, with a growing emphasis on dynamic and adaptive models that better reflect real-world scenarios.
  4. Non-Intelligent Data Processing Techniques:
    There is a decline in studies employing non-intelligent data processing techniques, as the field moves towards machine learning and AI-driven approaches for more efficient data handling.
  5. Conventional Routing Algorithms:
    Conventional routing algorithms are seeing less attention in favor of innovative and adaptive routing strategies that leverage modern computational techniques.

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