International Journal of Pervasive Computing and Communications
Scope & Guideline
Shaping the discourse on pervasive technologies.
Introduction
Aims and Scopes
- 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. - 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. - 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. - 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. - 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. - 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.
Trending and Emerging
- 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. - 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. - 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. - Context-Aware Computing:
Research on context-aware systems that adapt to user behavior and environmental conditions is emerging, enhancing user experience and system efficiency. - 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. - 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
- 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. - 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. - 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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