PSM-throttling: Minimizing Energy Consumption for Bulk Data Communications in WLANs
While the 802.11 power saving mode (PSM) and its enhancements can reduce power consumption by putting the wireless network interface (WNI) into sleep as much as possible, they either require additional infrastructure support, or may degrade the transmission throughput and cause additional transmission delay. These schemes are not suitable for long and bulk data transmissions with strict QoS requirements on wireless devices. With increasingly abundant bandwidth available on the Internet, we have observed that TCP congestion control is often not a constraint of bulk data transmissions as bandwidth throttling is widely used in practice. In this paper, instead of further manipulating the trade-off between the power saving and the incurred delay, we effectively explore the power saving potential by considering the bandwidth throttling on streaming/downloading servers. We propose an application-independent protocol, called PSM- throttling. With a quick detection on the TCP flow throughput, a client can identify bandwidth throttling connections with a low cost. Since the throttling enables us to reshape the TCP traffic into periodic bursts with the same average throughput as the server transmission rate, the client can accurately predict the arriving time of packets and turn on/off the WNI accordingly. PSM-throttling can minimize power consumption on TCP-based bulk traffic by effectively utilizing available Internet bandwidth without degrading the applications performance perceived by the user. Furthermore, PSM-throttling is client-centric, and does not need any additional infrastructure support. Our lab-environment and Internet-based evaluation results show that PSM- throttling can effectively improve energy savings (by up to 75％) and/or the QoS for a broad types of TCP- based applications, including streaming, pseudo streaming, and large file downloading, over existing PSM like methods.
Enhua Tan Lei Guo Songqing Chen Xiaodong Zhang
Dept. of Computer Science and Engineering The Ohio State University Columbus, OH 43210, USA Dept. of Computer Science George Mason University Fairfax, VA 22030, USA
国际会议
The 15th IEEE International Conference on Network Protocols(ICNP 2007)(第15届IEEE国际网络协议大会)
北京
英文
123-132
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）