Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Green WLANs: On-Demand WLAN Infrastructures
Mobile Networks and Applications
Practical power modeling of data transmission over 802.11g for wireless applications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
In search of energy-efficient mobile networking
IEEE Communications Magazine
Energy savings in wireless access networks through optimized network management
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Demystifying 802.11n power consumption
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Application Level Energy and Performance Measurements in a Wireless LAN
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Energy-efficient wireless mesh infrastructures
IEEE Network: The Magazine of Global Internetworking
Editorial: Editorial for Computer Networks special issue on "Green communication networks"
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Improving the energy efficiency of the ICT sector is becoming an ambitious challenge for industries and research communities alike. Understanding how the energy is consumed in each part of an ICT system becomes fundamental in order to minimize the overall energy consumed by the system itself. In this paper, we propose an experimentally-driven approach to (i) characterize typical wireless access network gateways from an energy consumption standpoint and (ii) develop simple and accurate power consumption models for such gateways. In this work we focused our attention on the monitoring, measurement and analysis of the energy consumption patterns of WiFi and WiMAX gateways. Our measurements show that the power consumption of such gateways exhibits a linear dependence on the traffic until a saturation point is reached.