Intelligence of Edges in Green Pervasive Computing and Communications
Prof. Dr. C. Venkatesan (Lead Guest Editor)
HKBK College of Engineering, India
Prof. Dr. Imran Shafique Ansari
University of Glasgow, United Kingdom
Prof. Dr. Danilo Pelusi
University of Teramo, Italy
Prof. Dr. Sri Devi Ravana
University of Malaya, Malaysia
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
For any queries, please contact the Guest Editors.