PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
A survey of design techniques for system-level dynamic power management
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on low-power electronics and design
Wake on wireless: an event driven energy saving strategy for battery operated devices
Proceedings of the 8th annual international conference on Mobile computing and networking
Reducing Multimedia Decode Power using Feedback Control
ICCD '03 Proceedings of the 21st International Conference on Computer Design
Gibraltar: Application and Network Aware Adaptive Power Management for IEEE 802.11
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
Minimizing energy for wireless web access with bounded slowdown
Wireless Networks
Exploring Adaptive Power Saving Schemes for Mobile VoIP Devices in IEEE 802.11 Networks
ICDT '07 Proceedings of the Second International Conference on Digital Telecommunications
Analysis of the integration of IEEE 802.11e capabilities in battery limited mobile devices
IEEE Wireless Communications
Embedded system architecture for an WLAN-based dual mode mobile phone
IEEE Transactions on Consumer Electronics
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For non-real time data such as Web or e-mail, the 802.11 PSM scheme can be a useful mechanism for reducing power consumption effectively. However, there are some limitations when these are used for voice communication in which the main traffic is composed of delay-sensitive data like voice or call signaling. In this paper, in order to overcome the limitations, we present an efficient power saving scheme which can minimize power consumption while guaranteeing the delay constraint during call signaling and talk time. Furthermore, in order to illustrate the aims of the proposed approach, the terminal systems are implemented and evaluated by measuring average call connection delay and power consumption. The experimental results show that our approach can minimize traffic delay and power consumption, and find an optimal sleep threshold value according to network condition changes.