International Journal of Pervasive Computing and Communications

Scope & Guideline

Empowering researchers to redefine communication.

Introduction

Delve into the academic richness of International Journal of Pervasive Computing and Communications with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1742-7371
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Converge2005, from 2007 to 2024
AbbreviationINT J PERVASIVE COMP / Int. J. Pervasive Computing Commun.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressFloor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND

Aims and Scopes

The International Journal of Pervasive Computing and Communications focuses on the intersection of pervasive computing technologies and communication systems, with an emphasis on innovative methodologies and applications that enhance connectivity, security, and efficiency across various domains.
  1. Pervasive Computing Applications:
    Research in this area encompasses the development and deployment of applications that utilize pervasive computing technologies, including health monitoring systems, smart environments, and intelligent transportation solutions.
  2. Cloud and Edge Computing:
    The journal features studies on cloud and edge computing paradigms, focusing on task scheduling, resource allocation, and energy efficiency to improve the performance of distributed computing systems.
  3. Security and Privacy in Computing:
    A significant emphasis is placed on security protocols, intrusion detection systems, and privacy preservation techniques, particularly in the context of IoT and cloud environments.
  4. Machine Learning and Data Analytics:
    The journal promotes research on machine learning and data analytics techniques applied to various fields, including health informatics, smart cities, and vehicular networks.
  5. Networking Protocols and Communication Technologies:
    Investigations into innovative networking protocols, communication systems, and methodologies that enhance the functionality and reliability of pervasive computing environments are a core focus.
  6. Energy Efficiency and Sustainability:
    Research dedicated to energy-efficient algorithms and sustainable practices in pervasive computing and communications, aiming to reduce the environmental impact of technology.
Recent publications in the International Journal of Pervasive Computing and Communications indicate a shift towards innovative and interdisciplinary themes that reflect current technological advancements and societal needs. The following themes are emerging as significant areas of research interest.
  1. Federated Learning:
    Federated learning is increasingly being explored as a means to enhance data privacy and security in distributed systems, particularly in IoT and edge computing environments.
  2. Energy-Aware Computing:
    There is a growing trend towards energy-efficient computing solutions, with research focusing on algorithms and architectures that minimize energy consumption while maintaining performance.
  3. Integration of AI and IoT:
    The convergence of artificial intelligence (AI) with Internet of Things (IoT) technologies is becoming a prominent theme, with applications in smart health, smart cities, and autonomous systems.
  4. Context-Aware Computing:
    Research on context-aware systems that adapt to user behavior and environmental conditions is emerging, enhancing user experience and system efficiency.
  5. Health Informatics:
    The journal is seeing an increase in publications related to health informatics, particularly leveraging IoT and machine learning for disease detection and monitoring.
  6. Security in Autonomous Systems:
    As autonomous systems become more prevalent, there is a rising interest in developing robust security measures to protect these systems from emerging threats.

Declining or Waning

While the journal has consistently focused on several core areas, certain themes appear to be losing prominence as the field evolves. This section highlights those areas that have seen a decline in recent publications.
  1. Traditional Networking Protocols:
    Research on older networking protocols that do not incorporate modern advancements or considerations for IoT and edge computing is becoming less frequent, as newer methodologies gain traction.
  2. Static Security Measures:
    The focus on static, non-adaptive security measures in pervasive computing environments is waning, with a shift towards more dynamic and adaptive security frameworks that can respond to evolving threats.
  3. Basic Data Collection Techniques:
    Studies that concentrate solely on basic data collection without integrating advanced analytics or machine learning approaches are seeing a decline, as more complex data processing methods are preferred.

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