Energy efficiency is acknowledged as a pivotal issue for a sustainable development of wireless networking technologies. Traditionally, most works in the area focused on the user equipment, where battery duration represents a key asset. However, as the smartphone and tablet revolution fuels a massive deployment of wireless networks, often in the form of WiFi hotspots, more and more attention is expected to be devoted to the energy-efficient management of wireless access infrastructure. These networks tend to be dense and over-provisioned, which in time leads to significant energy wastage in off-peak conditions. In this paper, we present MORFEO a flexible energy-saving decision algorithm to tune the energy consumption of a wireless infrastructure to the actual network conditions in terms of both user density and traffic patterns. Experimental results from a real-life deployment shows that our solution can deliver significant energy savings with minimal degradation in terms of the quality of service provided.
MORFEO: Saving Energy in Wireless Access Infrastructures / Mabell Gomez, Karina; Sengul, Cigdem; Bayer, Nico; Riggio, Roberto; Rasheed, Tinku; Miorandi, Daniele. - ELETTRONICO. - (2013). (Intervento presentato al convegno IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) tenutosi a Madrid, Spain nel 4-7 June 2013) [10.1109/WoWMoM.2013.6583409].
MORFEO: Saving Energy in Wireless Access Infrastructures
Roberto Riggio;
2013-01-01
Abstract
Energy efficiency is acknowledged as a pivotal issue for a sustainable development of wireless networking technologies. Traditionally, most works in the area focused on the user equipment, where battery duration represents a key asset. However, as the smartphone and tablet revolution fuels a massive deployment of wireless networks, often in the form of WiFi hotspots, more and more attention is expected to be devoted to the energy-efficient management of wireless access infrastructure. These networks tend to be dense and over-provisioned, which in time leads to significant energy wastage in off-peak conditions. In this paper, we present MORFEO a flexible energy-saving decision algorithm to tune the energy consumption of a wireless infrastructure to the actual network conditions in terms of both user density and traffic patterns. Experimental results from a real-life deployment shows that our solution can deliver significant energy savings with minimal degradation in terms of the quality of service provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.