Improving performance of MAC layer by using congestion control/avoidance methods in wireless network
Proceedings of the 2001 ACM symposium on Applied computing
A Link Adaptation Approach for QoS Enhancement in Wireless Networks
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
On performance analysis of challenge/response based authentication in wireless networks
Computer Networks and ISDN Systems
Multi-object video error recovery over wireless networks
WMuNeP '05 Proceedings of the 1st ACM workshop on Wireless multimedia networking and performance modeling
Optimization of wireless communication systems using cross-layer information
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Adaptive rate controller for mobile ad hoc networks
International Journal of Mobile Communications
A Novel Multiuser Diversity Based Scheduler with QoS Support for Cognitive Radio Networks
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Efficient and fast retransmission for wireless networks
Computer Communications
Nonlinear optimization for energy efficiency in IEEE 802.11a wireless LANs
Computer Communications
On performance analysis of challenge/response based authentication in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimizing physical-layer parameters for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Link energy minimization for wireless networks
Ad Hoc Networks
| Hi-index | 0.07 |
The quality of wireless links suffers from time-varying channel degradations such as interference, flat-fading, and frequency-selective fading. Current radios are limited in their ability to adapt to these channel variations because they are designed with fixed values for most system parameters such as frame length, error control, and processing gain. The values for these parameters are usually a compromise between the requirements for worst-case channel conditions and the need for low implementation cost. Therefore, in benign channel conditions these commercial radios can consume more battery energy than needed to maintain a desired link quality, while in a severely degraded channel they can consume energy without providing any quality-of-service (QoS). While techniques for adapting radio parameters to channel variations have been studied to improve link performance, in this paper they are applied to minimize battery energy. Specifically, an adaptive radio is being designed that adapts the frame length, error control, processing gain, and equalization to different channel conditions, while minimizing battery energy consumption. Experimental measurements and simulation results are presented to illustrate the adaptive radio's energy savings