Workshop on :

Green Computing oriented Modeling and Practice for Next Generation Heterogeneous Networks

Scope and Aims:

The connected world is enlarging rapidly due to the growing computing and communication capability in smaller devices or things around us in our daily life. The connected world technology is enabling intelligent automation and efficient resource utilization towards living with greener and smarter things. The growing digitization towards communication and computing enabled smart things is also diversifying the network heterogeneousness around us. It is pressing towards the smaller and smarter devices enabled via wide range of network technologies. The tiny sensor enabled smaller devices are energy constrained due to the size oriented limited battery power. Further to this power constraint, the increasing demand of smarter devices enhance computing demand in large volume leading to higher energy consumption. Here, it is worth noting that the frequent battery charging in any device reduces user friendliness. Even, it is not feasible with wireless charging technology advancements considering serious safety warning by battery manufacturers towards non-operation of devices while charging batteries.

Towards green computing technology, energy-centric communication and computing advancements in heterogeneous networking environments is one of the key research themes for what we call next generation heterogeneous networks. However, the topic has not witnessed enough attentions particularly in heterogeneous networking environments. There are various questions in different future networking environments that need to be precisely answered for enabling green computing under heterogeneous networking scenario. For example, how to optimize energy consumption in sensor enabled heterogeneous networking environments? How to schedule communication and computing in tiny sensors for cooperative energy optimization in next generation heterogeneous networks? How to design interference aware communication architecture for sensor enabled next generation networks? How to realize edge computing use cases towards computing energy conservation for service oriented next generation networks? What are the implications in implementing traditional green computing techniques for next generation heterogeneous networks? What are the distributed communication and computing techniques for heterogeneous networking environments?

This workshop aims to answer some of these questions on green computing technology-oriented modelling and practice in heterogeneous networking environments for next generation networks sustainability. It provides publication opportunity for researchers and practitioners towards showcasing their latest and innovative contributions with new theoretical modelling and practical experiences in green computing technology. The prototype implementation based green computing use cases for future heterogeneous networks are particularly welcomed.

The potential topics include, but are not limited to:

  • Optimizing energy consumption in next generation heterogeneous networks
  • Energy centric scheduling for communication and computing in heterogeneous networks
  • Light-weight computing architectures for next generation heterogeneous networks
  • Reducing interference for energy saving in next generation heterogeneous networks
  • Energy centric edge computing framework for next generation heterogeneous networks
  • Optimizing distributed communication models for next generation heterogeneous networks
  • Cloud oriented decentralized computing architectures for heterogeneous networks
  • Optimizing transmission energy focusing on new developments in sensor technology
  • Modelling propagation for energy centric communication in heterogeneous networks
  • Green computing architectures for under water sensor enabled heterogeneous networks
  • Green computing architectures sensor enabled heterogeneous body area networks
  • Energy centric video streaming for message delivery in heterogeneous vehicular networks

Important Dates

  • Late Papers Accepted Until: August 15, 2019
  • Paper Acceptance Notification: September 15, 2019
  • Camera-Ready Submission: September 31, 2019
  • Workshop date: November 11-12, 2019

General Co-Chairs

Omprakash Kaiwartya

Nottingham Trent University, UK

Email: Omprakash.kaiwartya@ntu.ac.uk

Web: https://www.ntu.ac.uk/staff-profiles/science-technology/omprakash-kaiwartya

Mukesh Prasad

University of Technology Sydney, Australia

Email: mukesh.prasad@uts.edu.au

Web: https://www.uts.edu.au/staff/mukesh.prasad

Jaime Lloret

Universitat Politecnica de Valencia, Spain

Email: jlloret@dcom.upv.es