Call for Papers -- Edge Intelligence for Pervasive Green Computing and Communications

2024-08-26

Recent advancements in information and communication technologies have led to a next-generation computing paradigm that can enhance the human experience and quality of life. Pervasive computing is one of the next-generation computing paradigms. These pervasive computing systems allow numerous casually accessible objects to facilitate a proactive interaction with the surrounding environment. The primary idea of pervasive computing is that any device can be embedded with chips and connecting them to the internet, thereby assembling a ubiquitous and personalized device. However, this trend towards personalized computing devices may increase in wireless networks and remote computing. This situation poses obstacles related to energy efficiency.

Pervasive computing through wireless networks requires a huge infrastructure. It includes infrastructure that facilitates connectivity and a data centre that can process information. These infrastructures are energy-intensive. Moreover, the embedded chips and microprocessors in the objects also face energy constraints. Due to these reasons, establishing seamless connectivity to a remote data centre to process information is challenging. Moreover, transferring the volume of data across geographies increases data privacy concerns. These constraints make it a challenging task to perform analytics and derive data intelligence essential for pervasive computing. Therefore, it is necessary to innovate a facility and framework that can perform data analytics anywhere. Moreover, developing methodologies that can facilitate taking action on data near the source as possible may solve the energy and bandwidth constraints that can pave the way for pervasive green computing. These aspirations and challenging conditions make the concept of edge intelligence a trending topic of research. Edge intelligence paves the way for the new generation of smart and personalized systems along with highly compelling use cases. This innovation is crucial, especially for businesses that require low latency, high bandwidth and consistent reliability. Developing edge intelligence for ubiquitous computing requires the convergence of artificial intelligence methodologies and cognitive technologies. Although there are several benefits of edge intelligence for green pervasive computing and communication systems, certain drawbacks related to this innovation need to be addressed. The scalability and data flexibility of cloud-based intelligence is fully known, but these aspects of data handling need to be explored in edge intelligence. This special issue aims to investigate operability of edge intelligence for green pervasive computing and communications. Researchers are requested to describe emerging developments and advances in adopting green pervasive communications. Furthermore, there is a need to explore performance, metrics and challenges in the field of edge intelligence and green pervasive computing and networking.

List of topics to be covered in this special issue:

  • Role of Artificial intelligence in green pervasive communication and computing
  • Strategies for energy-efficient scheduling and resource management for green pervasive computing
  • Security and privacy concerns for green pervasive communication technologies
  • Recent advances in edge intelligence for green pervasive computing
  • Recent advances in green IoT applications for pervasive computing
  • Emerging trends in edge intelligence for green pervasive computing
  • Sustainable data handling methods for green pervasive computing
  • Energy harvesting methods for green pervasive computing and communication
  • Novel framework for edge intelligence in green pervasive computing and communication
  • Intelligent architecture and protocol for green pervasive computing
  • Edge intelligence for achieving sustainable and smart computing
  • Future of edge intelligence architecture for green IoT

 

Guest Editors:
Dr. Muhammad Zakarya (Lead GE), Faculty of Computing and Information Technology, Sohar University, Oman
Dr. Santosh Tirunagari, Department of Computer Science, School of Science and Technology, Middlesex University, UK
Prof. Jinguang Han, School of Cyber Science and Engineering, Southeast University, China
Prof. Peiying Zhang, China University of Petroleum (East China), China

 

Tentative Timeline:
Manuscript Submission Date: March 1, 2025
Author Notification Date: May 1, 2025
Revised Paper Submission Date: July 1, 2025
Final Acceptance Date: September 1, 2025