Green Internet of Things (IoT)1: Special Issue for Wireless Communications and Mobile Computing |
Journal website | https://www.hindawi.com/journals/wcmc/si/194160/cfp/ |
[Special Issue for Wireless Communications and Mobile Computing]
[Green Internet of Things (IoT): Enabling Technologies, Architectures, Performance, and Design Issues]
Internet-of-Things (IoT) systems are envisioned to revolutionize the telecommunication paradigm by allowing direct integration between the physical world and machine-based systems. IoT systems allow everything to be connected, remotely accessed, sensed, and collaboratively communicate over the Internet. All IoT devices are supposed to be equipped with additional sensory and communication add-ons and in turn consume extra energy to sense the world and communicate with each other. Also, driven by the adoption from various organizations, the energy demand for IoT communication is expected to increase further. Subsequently, considering the energy efficiency for the design and development of IoT is crucial and will potentially lead to more sustainable society through reduction of greenhouses emissions. In this context, it is crucial to investigate the challenges such as energy efficient architecture and resource management solutions for green IoT, realistic energy consumption models for different parts of IoT systems (e.g., wireless sensor network, core network, embedded system, etc.), energy efficient cloud management, integration of renewable energy sources, smart grids, and wireless powered networks. That is, green design, green production, green utilization and finally green disposal/recycling to have minimal impact on the environment.
Wireless connectivity is an essential ingredient for IoT and 5G is a potential enabling technology bringing spectral/energy efficient, lower-cost connectivity to the IoT. For instance, Narrowband IoT (NB-IoT) is part of LTE Advanced Pro innovations, defined in 3GPP Release 13 and beyond. NB-IoT enables multiyear battery life, provides deeper coverage to devices in challenging locations, and leverage already ubiquitous LTE networks. When 5G becomes commercially available, IoT connectivity will be further enhanced and enables new capabilities, such as grant-free asynchronous transmissions and multi-hop mesh to inexpensively extend network coverage.
The purpose of this special issue is to present the most recent results on green IoT systems considering aspects related to the modeling, design, analysis, deployment, and management of green IoT networks. The special issue will also accept papers discussing the role of various 5G enabling technologies (such as the full-duplex, non-orthogonal multiple access (NOMA)) in the reduction of energy consumption of future IoT systems. High quality research papers and comprehensive tutorials/review articles are welcome. We invite original contributions from both academia and industry that are unpublished and not under review by other journals/conferences.
Potential topics include but are not limited to the following:
- Energy aware architecture and protocols for IoT assisted smart grid systems
- Energy efficient IoT for smart cities and smart buildings
- Green wireless sensor networks (WSNs),
- Energy efficient MAC and PHY mechanisms for IoT and low power WSNs
- Green cloud computing
- Green machine-to-machine (M2M) communication
- Self-sustainability of green IoT
- Smart metering infrastructures
- Ambient energy (RF, vibrations, body motions) harvesting for IoT
- Spectrum management and sharing for green IoT
- Backhauling solutions and resource management for green IoT
- Beamforming Schemes Using Power Control for green IoT
- Green IoT applications in battery-less backscatter system
Manuscript due |
31st Dec 2017 |
Lead Guest Editor:
Hina Tabassum, University of Manitoba, Winnipeg, Canada, hina.tabassum@umanitoba.ca
Guest Editors:
- Mahdi Ben Ghorbel, University of British Columbia (UBC), Okanagan Campus, Kelowna, Canada, mahdi.benghorbel@ubc.ca
- Hesham Elsawy, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, hesham.elsawy@kaust.edu.sa
- Wael Guibene, Intel Corporation, USA, wael.guibene@intel.com
- Sudarshan Guruacharya, University of Manitoba (UoM), Winnipeg, Canada, sudarshan.guruacharya@umanitoba.ca