The continuous increase in the energy production cost, together with environmental sustainability issues, is leading research communities, governments and industries to focus their efforts on a reduction of the global CO2 footprint. Information and communication technologies, which represent the nervous system of the globalized economy and society, account for a significant percentage of the overall global energy consumption. While a number of solutions have been proposed to build new, energy-aware and `green' communication infrastructures, little attention has been devoted to measuring the actual impact through real-world measurements. In this paper, we focus on wireless access networks, and aim at experimentally investigating the fundamental relationship between traffic and power consumption for a typical wireless LAN based on the IEEE 802.11g standard. The insight obtained through the measurements can be used to develop reliable and realistic energy consumption models, on top of which novel energy aware protocols and algorithms can be designed and developed.

Analysing the Energy Consumption Behaviour of WiFi Networks

Roberto Riggio;
2011

Abstract

The continuous increase in the energy production cost, together with environmental sustainability issues, is leading research communities, governments and industries to focus their efforts on a reduction of the global CO2 footprint. Information and communication technologies, which represent the nervous system of the globalized economy and society, account for a significant percentage of the overall global energy consumption. While a number of solutions have been proposed to build new, energy-aware and `green' communication infrastructures, little attention has been devoted to measuring the actual impact through real-world measurements. In this paper, we focus on wireless access networks, and aim at experimentally investigating the fundamental relationship between traffic and power consumption for a typical wireless LAN based on the IEEE 802.11g standard. The insight obtained through the measurements can be used to develop reliable and realistic energy consumption models, on top of which novel energy aware protocols and algorithms can be designed and developed.
978-1-4244-9519-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/291249
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