Title :
Towards eco-friendly home networking
Author :
Gibbens, Mathias ; Gniady, Chris ; Beichuan Zhang
Author_Institution :
Dept. of Comput. Sci., Univ. of Arizona, Tucson, AZ, USA
Abstract :
Home networking is becoming increasingly sophisticated as users connect ever more networked devices. In the past, home networks typically consisted of a simple router and maybe a couple of computers. Now, Gigabit and high speed wireless networks are commonplace in homes with many devices: TVs, Blu-ray players, game consoles, home theater receivers, and even home automation systems. This is in addition to standard computing devices such as desktops, laptops, e-book readers, smart phones and network attached storage. Smart homes with many wireless sensors to improve quality of life are also emerging. However, home network devices such as routers, switches, and broadband modems have been designed for maximum performance with limited consideration of energy optimizations when the devices are idle or serving low bandwidth traffic. The goal of this paper is to analyze the network activity of wireless home routers, investigate energy optimization opportunities, and present mechanisms for improving the energy efficiency of wireless home routers. We analyzed five week-long traces of home network traffic and identified a number of energy saving opportunities. Through detailed trace-based simulation and implementation measurements we are able to reduce the wireless energy consumption of the home router by 12-59% while incurring only minor delay of the initial packet delivery after leaving the low energy state.
Keywords :
home automation; power aware computing; telecommunication network routing; telecommunication power management; wireless sensor networks; Blu-ray players; TVs; eco-friendly home networking; energy optimizations; game consoles; high speed wireless networks; home automation systems; home network devices; home network traffic; home theater receivers; low bandwidth traffic; networked devices; packet delivery; quality of life; smart homes; trace-based simulation; wireless energy consumption; wireless home routers; wireless sensors; Delays; Energy consumption; Home automation; Optimization; Wireless networks; Wireless sensor networks;
Conference_Titel :
Green Computing Conference (IGCC), 2014 International
Conference_Location :
Dallas, TX
DOI :
10.1109/IGCC.2014.7039174