Wireless Networks Resources Trading for QoS Performance Guaranteed Green Communications

2016 ◽  
pp. 27-58
Author(s):  
Xi* Zhang ◽  
Wenchi+ Cheng
Keyword(s):  
Wireless Networks ◽  
Green Communications ◽  
Qos Performance

scholarly journals IEEE Access Special Section Editorial: Green Communications on Wireless Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 187140-187145
Author(s):  
Ilsun You ◽  
Giovanni Pau ◽  
Wei Wei ◽  
Carol Fung
Keyword(s):  
Wireless Networks ◽  
Special Section ◽  
Green Communications

scholarly journals Towards A Sustainable Green Design for Next-Generation Networks

2021 ◽  
Author(s):  
Isiaka Ajewale Alimi ◽  
Romilkumar K. Patel ◽  
Akeem O. Mufutau ◽  
Nelson J. Muga ◽  
Armando N. Pinto ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Networks ◽  
Energy Consumption ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Carbon Dioxide Emission ◽  
Green Energy ◽  
Green Communications ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

Abstract The evolution in the Information and Communications Technologies industry results in excessive energy consumption and carbon dioxide emission in the wireless networks. In this context, energy efficiency in mobile networks has been attracting considerable attention as green communications and operational expenditures reduction depend on it. Although the Internet of Things is to be supported by devices that are low-energy consuming, the power consumption of the huge number to be connected for several applications and services demand significant attention. To offer insights into green communications, this paper reviews various energy efficiency improvement techniques. Also, we consider a hybrid model in which the main grid power and dynamically harvested green energy from renewable energy sources can be leveraged to support the energy demand of the radio access network. In this regard, we reformulate the energy consumption model and consider an energy-efficient power allocation algorithm for green energy optimization. Numerical results show that with resource allocation algorithm exploitation, the energy efficiency can be enhanced. Besides, the amount of the grid energy consumption can be considerably minimized, resulting in the greenhouse gas emissions reduction in the wireless networks.

scholarly journals Real-Time Communications in Large-Scale Wireless Networks

2008 ◽  
Vol 2008 ◽  
pp. 1-16 ◽  
Author(s):  
Liang Song ◽  
Dimitrios Hatzinakos
Keyword(s):  
Wireless Networks ◽  
Real Time ◽  
Large Scale ◽  
Visual Sensor ◽  
Broadband Internet ◽  
Multihop Wireless ◽  
Data Packets ◽  
End To End Delay ◽  
End To End ◽  
Qos Performance

There is an emerging need for realizing real-time quality of service (QoS) over multihop wireless communications in large-scale wireless networks. The applications can include wireless mesh infrastructure for broadband Internet access supporting multimedia services, visual sensor networks for surveillance, and disaster-relief networks. However, a number of challenges still exist as revealed by recent works, where the dataflow QoS performance such as throughput and end-to-end delay can degrade fast with the number of wireless hops. We propose to use large-scale cognitive networking methods to resolve the wireless multihop challenges. By the cognitive-networking concept, data packets travel along opportunistically available paths in the network with opportunistically available spectrum in every hop. Reliable end-to-end communications can be achieved for real-time services, where we show that (1) dataflow throughput can be independent of any number of wireless hops, (2) end-to-end delay and delay variance increase linearly with the number of wireless hops, and (3) delay variance decreases to zero with higher network density. These results are supported by analysis, simulations, and experiments.

Energy Efficient Wireless Networks Towards Green Communications

2011 ◽  
Vol 59 (3) ◽  
pp. 537-552 ◽  
Author(s):  
Mauro De Sanctis ◽  
Ernestina Cianca ◽  
Viraj Joshi
Keyword(s):  
Wireless Networks ◽  
Energy Efficient ◽  
Green Communications
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