Mobile Networks and Applications
A Survey of Energy Efficient Network Protocols for Wireless Networks
Wireless Networks
Energy-efficient communication protocols
Proceedings of the 39th annual Design Automation Conference
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
On Supporting Power-Efficient Streaming Applications in Wireless Environments
IEEE Transactions on Mobile Computing
Computation and transmission energy modeling through profiling for MPEG4 video transmission
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Stability-constrained optimization for energy efficiency in polling-based wireless networks
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Power modeling and efficient FPGA implementation of FHT for signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
An opportunistic video scheduling algorithm over shared wireless downlink
Computer Communications
Transition-aware DVS algorithm for real-time systems using tree structure analysis
Journal of Systems Architecture: the EUROMICRO Journal
Scheduling algorithms for multiple channel wireless local area networks
Computer Communications
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This paper describes the design and analysis of the scheduling algorithm for energy conserving medium access control (EC-MAC), which is a low-power medium access control (MAC) protocol for wireless and mobile ATM networks. We evaluate the scheduling algorithms that have been proposed for traditional ATM networks. Based on the structure of EC-MAC and the characteristics of wireless channel, we propose a new algorithm that can deal with the burst errors and the location-dependent errors. Most scheduling algorithms proposed for either wired or wireless networks were analyzed with homogeneous traffic or multimedia services with simplified traffic models. We analyze our scheduling algorithm with more realistic multimedia traffic models based on H.263 video traces and self-similar data traffic. One of the key goals of the scheduling algorithms is simplicity and fast implementation. Unlike the time-stamped based algorithms, our algorithm does not need to sort the virtual time, and thus, the complexity of the algorithm is reduced significantly