SwitchR Reducing System Power Consumption in a Multi-Client, Multi-Radio Environment

SwitchR Reducing System Power Consumption in a Multi-Client, Multi-Radio Environment

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1 SwitchR: Reducing System Power Consumption in a Multi-Client, Multi-Radio Environment Yuvraj Agarwal CSE, UC San Diego 9500 Gilman Drive La Jolla, CA [email protected] Trevor Pering Intel Research 2200 Mission College Santa Clara, CA [email protected] Roy Want Intel Research 2200 Mission College Santa Clara, CA [email protected] Rajesh Gupta CSE, UC San Diego 9500 Gilman Drive La Jolla, CA [email protected] Abstract Multiple wireless network interfaces in a single mo- bile device exist in order to support their diverse commu- nications and networking needs. This paper proposes a general switching architecture, SwitchR, for managing radio communications for multiple (client) devices utiliz- ing multiple heterogeneous radios per device. To be effec- tive and useful, the radio switching must be transparent to applicaticons, and should be deployable incrementally within existing wireless infrastructures. The SwitchR framework considers the load imposed on the wireless channel by other communicating clients in order to make optimal switching decisions. We demonstrate reduction in energy consumption of a mobile device by 47% - 72%, depending upon the application, over the Power Save Mode in WiFi. SwitchR also leads to 13% - 60% reduc- tion in energy consumption over previous multi-radio architectures that do not consider the interactions between multiple clients. 1 Introduction and Motivation Mobile networked devices increasingly feature mul- tiple radio technologies such as cellular, wireless LAN and personal area networks in response to the increasing and converging capabilities on the mobile computing platform. Mobile applications include support for media streaming, web access, and downloading content from the Internet in addition to voice telephony. Radios commonly integrated with these mobile devices range from short range (local-area) radios such as Bluetooth and 802.11 (WiFi) to GPRS/EDGE or 1xEVDO for wide-area net- work access. These heterogeneous radios present diverse capabili- ties, in terms of range of operation, nominal bandwidth, latency and power consumption characteristics. In most mobile platforms, the radio subsystems – whether the RF electronics or transmitted power – constitute up to 50% (786 mW WiFi, 81mW BT out of a total of 1.3 W for the mobile device with the LCD turned off [12] ) of the total mobile platform power [2][12][15]. Based on their origins, each of these radios have been architected for a specific purpose. As a consequence, these radios and their network interfaces are optimized to provide different forms of energy efficiency, depending on their primary design target. For short distances and low bandwidth connections, Bluetooth is highly efficient consuming on the order of 70 mW for active transfers, compared to almost 800 mW for active WiFi radios. Yet, for high-throughput applications, WiFi provides a lower energy/bit interface at 0.14mW/kbps compared to >0.22 mW/kbps for Bluetooth. Therefore for high throughput applications WiFi is more energy efficient than Bluetooth,
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This note was uploaded on 09/01/2009 for the course CSE CS-699 taught by Professor Prf.p.bhaduri during the Spring '09 term at Indian Institute of Technology, Guwahati.

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SwitchR Reducing System Power Consumption in a Multi-Client, Multi-Radio Environment

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