Energy Efficiency and Failure Recovery Mechanisms for Communication Networks

2013 ◽  
pp. 433-464 ◽  
Author(s):  
Artur Arsénio ◽  
Tiago Silva
Keyword(s):  
Energy Efficiency ◽  
Communication Networks ◽  
Failure Recovery ◽  
Recovery Mechanisms

Energy efficiency in cognitive radio assisted D2D communication networks

2018 ◽  
Vol 71 (2) ◽  
pp. 167-180 ◽  
Author(s):  
Mushtaq Ahmad ◽  
Farooq Alam Orakzai ◽  
Ashfaq Ahmed ◽  
Muhammad Naeem ◽  
Muhammad Iqbal ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Communication Networks ◽  
D2d Communication

scholarly journals Optimal Energy Efficiency Fairness of Nodes in Wireless Powered Communication Networks

Sensors ◽  
2017 ◽  
Vol 17 (9) ◽  
pp. 2125 ◽  
Author(s):  
Jing Zhang ◽  
Qingjie Zhou ◽  
Derrick Ng ◽  
Minho Jo
Keyword(s):  
Energy Efficiency ◽  
Communication Networks ◽  
Optimal Energy

scholarly journals Fast Recovery Mechanisms in the Data Plane

2020 ◽  
Author(s):  
Marco Chiesa ◽  
Andrzej Kamisiński ◽  
Jacek Rak ◽  
Gábor Rétvári ◽  
Stefan Schmid
Keyword(s):  
Communication Networks ◽  
State Of The Art ◽  
Software Defined Networks ◽  
Fast Recovery ◽  
Link Layer ◽  
Open Research ◽  
Data Plane ◽  
Recovery Mechanisms ◽  
Networking Technologies ◽  
Over Time

<div>In order to meet their stringent dependability requirements, most modern communication networks support fast-recovery mechanisms in the data plane. While reactions to failures in the data plane can be significantly faster compared to control plane mechanisms, implementing fast recovery in the data plane is challenging, and has recently received much attention in the literature. This tutorial presents a systematic overview of packet-based fast-recovery mechanisms in the data plane, focusing on concepts but structured around different networking technologies, from traditional link-layer and IP-based mechanisms, over BGP and MPLS to emerging software-defined networks and programmable dataplanes. We examine the evolution of fast-recovery standards and mechanisms over time, and identify and discuss the fundamental principles and algorithms underlying different mechanisms. We then present a taxonomy of the state-of-the-art and compile open research</div><div>questions.</div>

scholarly journals Energy Efficiency Concerns and Trends in Future 5G Network Infrastructures

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5392
Author(s):  
Ioannis P. Chochliouros ◽  
Michail-Alexandros Kourtis ◽  
Anastasia S. Spiliopoulou ◽  
Pavlos Lazaridis ◽  
Zaharias Zaharis ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Communication Networks ◽  
Mobile Networks ◽  
Full Range ◽  
Performance Measure ◽  
Design Constraint ◽  
Important Concern ◽  
5G Network ◽  
Near Future

Energy efficiency is a huge opportunity for both the developed and the developing world, and ICT will be the key enabler towards realising this challenge, in a huge variety of ways across the full range of industries. In the telecommunications space in particular, power consumption and the resulting energy-related pollution are becoming major operational and economical concerns. The exponential increases in network traffic and the number of connected devices both make energy efficiency an increasingly important concern for the mobile networks of the (near) future. More specifically, as 5G is being deployed at a time when energy efficiency appears as a significant matter for the network ability to take into account and to serve societal and environmental issues, this can play a major role in helping industries to achieve sustainability goals. Within this scope, energy efficiency has recently gained its own role as a performance measure and design constraint for 5G communication networks and this has identified new challenges for the future. In particular, the inclusion of AI/ML techniques will further enhance 5G’s capabilities to achieve lower power consumption and, most importantly, dynamic adaption of the network elements to any sort of energy requirements, to ensure effective functioning.

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