Remote Power Control of Wireless Network Interfaces

Acquaviva, Andrea; Simunic, T.; Deolalikar, Vinay; Roy, Sumit

doi:10.1007/978-3-540-39762-5_43

Cited by 34 publications

(28 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many have investigated traffic shaping techniques with cooperation from the application or the network infrastructure [20][8] [2]. These techniques employ buffering to accumulate short intervals into a long one for power management, henceforth traffic shaping.…”

Section: Related Workmentioning

confidence: 99%

Micro power management of active 802.11 interfaces

Liu

Lin

2008

Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services

View full text Add to dashboard Cite

Wireless interfaces are major power consumers on mobile systems. Considerable research has improved the energy efficiency of elongated idle periods or created more elongated idle periods in wireless interfaces, often requiring cooperation from applications or the network infrastructure. With increasing wireless mobile data, it has become critical to improve the energy efficiency of active wireless interfaces. In this work, we present micro power management (µPM), a solution inspired by the mismatch between the high performance of state-of-the-art 802.11 interfaces and the modest data rate requirements by many popular network applications. µPM enables an 802.11 interface to enter unreachable power-saving modes even between MAC frames, without noticeable impact on the traffic flow. To control data loss, µPM leverages the retransmission mechanism in 802.11 and controls frame delay to adapt to demanded network throughput with minimal cooperation from the access point. Based on a theoretical framework, we employ simulation to systematically investigate an effective and efficient implementation of µPM. We have built a prototype µPM on an openaccess wireless hardware platform. Measurements show that more than 30% power reduction for the wireless transceiver can be achieved with µPM for various applications without perceptible quality degradation.

show abstract

Section: Related Workmentioning

confidence: 99%

Micro power management of active 802.11 interfaces

Liu

Lin

2008

Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services

View full text Add to dashboard Cite

show abstract

“…Application level information is used for power management of streaming media in [13]. An excellent overview of energy efficient wireless network protocols is given in [1 8], and for ad-hoc networks in [34,3 5].…”

Section: Related Workmentioning

confidence: 99%

<title>Managing heterogeneous wireless environments via Hotspot servers</title>

2005

Self Cite

View full text Add to dashboard Cite

Wireless communication today supports heterogeneous wireless devices with a number of different wireless network interfaces (WNICs). A large fraction of communication is infrastructure based, so the wireless access points and hotspot servers have become more ubiquitous. Battery lifetime is still a critical issue, with WNICs typically consuming a large fraction of the overall power budget in a mobile device. In this work we present a new technique for managing power consumption and QoS in diverse wireless environments using Hotspot servers. We introduce a resource manager module at both Hotspot server and the client. Resource manager schedules communication bursts between it and each client. The schedulers decide what WNIC to employ for communication, when to communicate data and how to minimize power dissipation while maintaining an acceptable QoS based on the application needs. We present two new scheduling policies derived from well known earliest deadline first (EDF) and rate monotonic (RM) [26] algorithms. The resource manager and the schedulers have been implemented in the HP's Hotspot server [14]. Our measurement and simulation results show a significant improvement in power dissipation and QoS of Bluetooth and 802. 1 lb for applications such as MP3, MPEG4, WWW, and email.

show abstract

“…Traffic shaping increases data burstiness and reduces the time intervals the wireless interface must stay at the high-power transmit/receive modes [13,14]. Chandra [13] has studied the energy savings of server-side traffic shaping on different streaming media formats.…”

Section: Related Workmentioning

confidence: 99%

“…Chandra [13] has studied the energy savings of server-side traffic shaping on different streaming media formats. For client-server style multimedia applications, a control channel can be established to facilitate power management [14]. The client informs the server of its expected service rate and instantaneous buffer occupancy.…”

Section: Related Workmentioning

confidence: 99%

Proxy-Assisted Scheduling for Energy-Efficient Multimedia Streaming over Wireless LAN

Zhang

Chanson

2005

NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile A

View full text Add to dashboard Cite

Abstract. Energy is a critical resource for battery-driven mobile and wireless devices. The power-saving mode (PSM) provided by the 802.11 standard is not adequate for mobile clients running streaming media applications. We propose new power-aware scheduling strategies that enhance existing traffic shaping schemes for the purpose of minimizing the communication energy consumption of mobile clients. Scheduling decisions are made by the local proxy and executed at the access point. We consider two cases. In the first case, the proxy is unaware of the power characteristics of the clients. We present an optimal scheduling scheme that minimizes the time that mobile clients stay in high-power modes. This scheme achieves significant energy savings compared to using traffic shaping alone. In the second case, the power profiles and the residual battery capacities of the clients are taken into account in generating the schedule. Unlike most existing work, we believe these factors should be considered in the performance metric. We propose a dynamic programming approach that computes the optimal transmission schedule based on the new metric. We also present an efficient heuristic which exhibits near-optimal performance in the simulation experiments.

show abstract

Remote Power Control of Wireless Network Interfaces

Cited by 34 publications

References 16 publications

Micro power management of active 802.11 interfaces

Micro power management of active 802.11 interfaces

<title>Managing heterogeneous wireless environments via Hotspot servers</title>

Proxy-Assisted Scheduling for Energy-Efficient Multimedia Streaming over Wireless LAN

Contact Info

Product

Resources

About