Intelligence of Edges in Green Pervasive Computing and Communications


Guest Editors

Prof. Dr. C. Venkatesan (Lead Guest Editor)
HKBK College of Engineering, India
[email protected]

Prof. Dr. Imran Shafique Ansari
University of Glasgow, United Kingdom
[email protected]

Prof. Dr. Danilo Pelusi
University of Teramo, Italy
[email protected]

Prof. Dr. Sri Devi Ravana
University of Malaya, Malaysia
[email protected]

About this Special Issue

Internet  of  Things (IoT) is  becoming  an  established  technology,  with  devices  being deployed in homes, workplaces, and public areas at progressive rate. IoT devices are the core technology for smart homes, smart cities, intelligent transport systems and so on. During the communication, a huge  amount of data is being exchanged through wireless communication networks.  This  leads  to  a  pollution  called  “Electronic  Pollution”  which  cause  several environmental issues that includes global warming. With the prevalence of IoT, the problem of  how  to  manage  the  vast  volumes,  wide  variety  and  type  of  data  generated,  and  erratic generation patterns is becoming increasingly clear and challenging.

Green pervasive communication and networking of things has attracted attention from both  academia  and  industry in  recent  years.  In  edge  computing,  computations  are  deployed mainly  at  the  local  network  edge  rather  than  at  remote  central  computing  infrastructures, thereby  considerably  reducing  latency  and  possibly  improving  computation  efficiency.  It brings about a world where smart, connected embedded systems and products operate as part of larger systems. The edge computing model has been applied in many areas such as mobile access networks, Internet of Things (IoT), and micro services, enabling novel applications that drastically change our daily lives.

There  are  several  challenges  related  to  the  planning,  developing  and  managing  of systems  for  IoT  applications,  and  one  of  these  challenges  requires  solutions  that  are  able  to make  IoT  a  green  and  an  energy-efficient paradigm.  As  a  matter  of  fact,  the  exploitation  of wireless   sensors,   autonomous   systems   (robots,   vehicles,   UAVs),   Machine-to-Machine, industrial and medical IoT and other similar technologies will require on the one side enhanced green pervasive communications  and networking  capabilities.  On  the  other  side  their sustainability and power efficiency, especially for wide-scale deployments of IoT applications is  another  challenge.  Since  different  trade-offs  arise  when  designing  IoT  networking  and communication technologies while taking into account their energy efficiency. The key focus of  the  issue  is  to  describe  the  emerging  developments  and  advances,  challenges  in  adopting green pervasive communications, metrics, performance, measurement, test-beds, and results in the field of green IoT communications, Intelligent Internet of Things (IIoT) and networking.

Potential topics may include, but are not limited to, the following:  

  • Energy harvesting and wireless power transfer for green IoT
  • Green IoT applications and services.
  • Low-Power Localand Wide-Area Networks (e.g., LoRa, SigFox, 6LowPAN, NB-LTE, LTE-M)
  • Energy-efficient technologies for Green pervasive communication
  • Green switching and routing technologies
  • Energy-efficient data centres, storage, edge computing, and cloud computing
  • Sensors for sustainable communication
  • Green pervasive communication architecture for 5G/6G networks
  • Security and privacy for green pervasive communication technologies
  • Green wireline communications and networking
  • Energy-efficient scheduling and resource management
  • Artificial intelligence for green pervasive communication
  • Blockchain in green pervasive communication and computing
  • Green pervasive communication for cyber physical systems

Deadline and Submission Details

Submission window opens: 15 April 2022
Submission deadline for all papers: 31 October 2022

All submissions must be made via ScholarOne. Please refer to the author guidelines for IJPCC before submitting.

For any queries, please contact the Guest Editors.