Minimizing energy for wireless web access with bounded slowdown
Proceedings of the 8th annual international conference on Mobile computing and networking
Application-specific Network Management for Energy-Aware Streaming of Popular Multimedia Formats
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
μSleep: a technique for reducing energy consumption in handheld devices
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Dynamic, Power-Aware Scheduling for Mobile Clients Using a Transparent Proxy
ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
Power-efficient streaming for mobile terminals
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Client-Centered, Energy-Efficient Wireless Communication on IEEE 802.11b Networks
IEEE Transactions on Mobile Computing
Micro power management of active 802.11 interfaces
Proceedings of the 6th international conference on Mobile systems, applications, and services
Practical power modeling of data transmission over 802.11g for wireless applications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
GreenTube: power optimization for mobile videostreaming via dynamic cache management
Proceedings of the 20th ACM international conference on Multimedia
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Shaping constant bit rate traffic into bursts has been proposed earlier for UDP-based multimedia streaming to save Wi-Fi communication energy of mobile devices. The relationship between the burst size and energy consumption of wireless interfaces is such that the larger is the burst size, the lower is the energy consumption per bit received as long as there is no packet loss. However, the relationship between the burst size and energy in case of TCP traffic has not yet been fully uncovered. In this paper, we develop a power consumption model which describes this relationship in wireless multimedia streaming scenarios. Then, we implement a cross-layer stream delivery system, EStreamer. This system relies on a heuristic derived from the model and on client playback buffer status to determine a burst size and provides as small energy consumption as possible without jeopardizing smooth playback. The heuristic greatly simplifies the deployment of EStreamer compared to most existing solutions by ensuring energy savings regardless of the wireless interface being used. We show that in the best cases using EStreamer reduces energy consumption of a mobile device by 65%, 50-60% and 35% while streaming over Wi-Fi, LTE and 3G respectively. Compared with existing energy-aware applications energy consumption can be reduced by 10-55% further.