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Call for Papers: Green Communication for Heterogeneous Internet of Things

Internet of Things (IoT) connected world is enlarging rapidly due to the growing communication capability in computing centric devices or things around us in daily life. The connected world technology is enabling smart automation and resource provisioning around us. The growing connected world via communication and computing enabled smart things is also diversifying the network heterogeneous around us. It is also taking us towards the smaller and smarter devices enabled via wide range of network technologies. The tiny sensor based smaller devices have limited energy due to their size oriented constrained battery power. The growing demand of smarter devices considerably increases the volume of computation which worsen the energy limitation problem of smaller devices. it is noteworthy that the frequent battery charging in IoT centric smaller devices reduces user friendliness. Frequent charging of smaller devices poses serious safety concerns considering battery manufacturers advice regarding not operating of devices during battery charging.

Towards green communication technology, energy-centric communication and computing advancements in heterogeneous IoT environments is one of the key research themes for today’s networking scenario. However, the topic has not given enough attention focusing on heterogeneous IoT environments. There are number of questions in heterogeneous IoT environments that need to be answered for enabling green communication for smart services. For example, how to develop optimal energy utilization techniques for heterogeneous IoT environments? How to parallelize communication and computing in virtualization centric heterogeneous IoT environments? How to develop minimal interference centric architecture for heterogeneous IoT environments? How to design fog computing use cases for energy conservation in heterogeneous IoT environments? What are the implications in implementing traditional green computing techniques for heterogeneous IoT environments? What are the distributed communication techniques applicable for heterogeneous IoT environments?

This special issue aims to address some of these raised issues on green communication centric technology for heterogeneous IoT environments. It provides publication opportunity for researchers and practitioners towards showcasing their latest and innovative contributions with theoretical modelling and practical validations in green communication technology. The prototype implementation based green communication use cases for heterogeneous IoT networks are particularly welcomed.

The potential topics include, but are not limited to:

  • Multi variate energy optimization frameworks for heterogeneous IoT environments
  • Cooperative scheduling of communication for heterogeneous IoT environments 
  • Light-weight communication architectures for heterogeneous IoT environments
  • Interference aware communication frameworks for heterogeneous IoT environments
  • Edge computing oriented green architectures for heterogeneous IoT environments
  • Quantity of energy-oriented modelling for heterogeneous IoT environments
  • Optimizing distributed communication models for heterogeneous IoT environments
  • Cloud oriented decentralized computing architectures for heterogeneous IoT environments
  • Optimizing transmission energy focusing on new developments in sensor technology 
  • Energy oriented propagation models for next generation heterogeneous IoT environment
  • Communication optimization in underwater sensor enabled heterogeneous IoT environments
  • Access control-based energy models for body area network centric IoT environments
  • Energy saving in data delivery for vehicular network centric heterogeneous IoT environments

Deadline for Submissions: December 31, 2019

Lead Guest Editor
Omprakash Kaiwartya, Nottingham Trent University, UK

Guest Editors
Houbing Song, Embry-Riddle Aeronautical University, USA
Rajiv Ratn Shah, Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi), India
Md Asri Ngadi, Universiti Teknologi Malaysia, MALAYSIA

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