Digital Communications and Networks

Scope & Guideline

Empowering knowledge in a connected world.

Introduction

Immerse yourself in the scholarly insights of Digital Communications and Networks with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2468-5925
PublisherKEAI PUBLISHING LTD
Support Open AccessYes
CountryChina
TypeJournal
Convergefrom 2015 to 2024
AbbreviationDIGIT COMMUN NETW / Digit. Commun. Netw.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address16 DONGHUANGCHENGGEN NORTH ST, Building 5, Room 411, BEIJING, DONGCHENG DISTRICT 100009, PEOPLES R CHINA

Aims and Scopes

The journal 'Digital Communications and Networks' serves as a vital platform for disseminating cutting-edge research and advancements in the field of digital communication systems and networks. Its scope encompasses a wide array of topics that contribute to the evolution of communication technologies, particularly in the context of the Internet of Things (IoT), 5G, and beyond. The journal emphasizes innovative methodologies and interdisciplinary approaches that address the challenges and opportunities in modern digital communications.
  1. Digital Communication Protocols and Architectures:
    Research focusing on the design, analysis, and implementation of protocols and architectures that facilitate efficient digital communication, particularly in IoT and next-generation wireless networks.
  2. Security and Privacy in Communication Systems:
    Studies aimed at enhancing the security and privacy of communication systems, including cryptographic protocols, intrusion detection systems, and secure data transmission methods.
  3. Machine Learning and AI Applications:
    Exploration of machine learning and artificial intelligence techniques applied to improve communication systems, including optimization of resource allocation and anomaly detection.
  4. Network Optimization Techniques:
    Innovative approaches for optimizing network performance, including resource management, scheduling algorithms, and energy-efficient communication strategies.
  5. Emerging Technologies and Applications:
    Research on the integration of emerging technologies such as blockchain, edge computing, and unmanned aerial vehicles (UAVs) in enhancing communication networks and services.
  6. Interdisciplinary Approaches to Communication Challenges:
    Collaboration across disciplines to tackle complex communication challenges, integrating insights from fields such as computer science, engineering, and social sciences.
The journal has witnessed a dynamic evolution in its focus areas, with several themes emerging as particularly relevant and impactful in recent publications. These trends indicate a response to the rapid technological advancements and the increasing complexity of digital communication systems.
  1. Federated Learning and Privacy-Preserving Techniques:
    A growing emphasis on federated learning frameworks that prioritize user privacy and data security, particularly in IoT applications, reflecting the industry's shift towards decentralized and secure data processing.
  2. Integration of AI and Machine Learning in Communication Systems:
    Significant trends in leveraging AI and machine learning for optimizing communication processes, enhancing security measures, and improving user experiences across various applications.
  3. Blockchain Technologies for Secure Communication:
    Increased interest in blockchain applications for secure data transmission and integrity verification, showcasing its potential to revolutionize communication security.
  4. UAV and Edge Computing Innovations:
    Emerging research on UAV-assisted communication and edge computing solutions, highlighting their role in enhancing connectivity and data processing capabilities in challenging environments.
  5. Environmental Sustainability in Communication Technologies:
    A rising focus on developing energy-efficient and environmentally sustainable communication technologies, reflecting a broader societal emphasis on sustainability.
  6. Real-Time Data Processing and Analytics:
    An upward trend in research exploring real-time data processing techniques and analytics in communication networks, driven by the demand for immediate insights in various applications.

Declining or Waning

While 'Digital Communications and Networks' continues to thrive in many areas, some themes have shown signs of declining prominence or reduced publication frequency. This shift reflects the evolving landscape of digital communications and emerging priorities within the field.
  1. Traditional Wireless Communication Techniques:
    Research focused on conventional wireless communication methods has diminished, as the field rapidly evolves towards more advanced technologies like 5G and beyond.
  2. Basic Protocol Studies:
    The focus on fundamental studies of basic communication protocols has waned in favor of more complex and application-oriented research that addresses real-world challenges.
  3. Static Network Models:
    Publications centered on static network models are becoming less frequent, with a growing emphasis on dynamic and adaptive models that better reflect current technological advancements.
  4. Low-Impact Security Measures:
    There is a noticeable decline in studies advocating for minimal or basic security measures, as the field increasingly prioritizes robust security frameworks in response to emerging threats.

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