Review: A survey of energy efficient MAC protocols for IEEE 802.11 WLAN
Computer Communications
An Energy Efficient WLAN Skype Deployment Using GSM Wakeup Signals
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Comparison of energy efficiency in PSTN and VoIP systems
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Leveraging 802.11n frame aggregation to enhance QoS and power consumption in Wi-Fi networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Enhancing the performance of TCP over Wi-Fi power saving mechanisms
Wireless Networks
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Emerging dual-mode phones incorporate a Wireless LAN (WLAN) interface along with the traditional cellular interface. The additional benefits of the WLAN interface are, however, likely to be outweighed by its greater rate of energy consumption. This is especially of concern when real-time applications, that result in continuous traffic, are involved. WLAN radios typically conserve energy by staying in sleep mode. With real-time applications like Voice over Internet Protocol (VoIP), this can be challenging since packets delayed above a threshold are lost. Moreover, the continuous nature of traffic makes it difficult for the radio to stay in the lower power sleep mode enough to reduce energy consumption significantly. In this work, we propose the GreenCall algorithm to derive sleep/wake-up schedules for the WLAN radio to save energy during VoIP calls while ensuring that application quality is preserved within acceptable levels of users. We evaluate GreenCall on commodity hardware and study its performance over diverse network paths and describe our experiences in the process. We further extensively investigate the effect of different application parameters on possible energy savings through trace-based simulations. We show that, in spite of the interactive, real-time nature of voice, energy consumption during calls can be reduced by close to 80 percent in most instances.