Titlebook: System-Level Power Optimization for Wireless Multimedia Communication; Power Aware Computin Ramesh Karri,David Goodman Book 2002 Springer S

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978-1-4757-7622-5Springer Science+Business Media New York 2002

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able multimedia communications devices beyond low-power electronic design. Specifically, this work is a compilation of system-level power management approaches including theoretical and simulation studies, field measurements, algorithm development and experimental test beds related to low power comp

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Low-Energy Software Optimization for the ARM7 Processor: The Software Scheduling Approach, no impact on the program functionality. The inter-instruction effect cost is determined by means of physical measurements. The target architecture has been the ARM7TDMI processor core. The results of the optimization algorithm have been validated upon the implementation of the IEEE 802.11 protocol microcode for wireless local area networks.

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Energy-Aware TDMA-Based MAC for Sensor Networks,ems are typically disposable and expected to last until their energy drains. Therefore, energy is a very scarce resource for such sensor systems and has to be managed wisely in order to extend the life of the sensors for the duration of a particular mission. In this chapter, we present a novel appro

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Optimal Node Scheduling for Effective Energy Usage in Sensor Networks,eated a need for power optimization across individual system boundaries. In particular, a great deal of excitement has been generated by wireless ad-hoc sensor networks, which integrate communication, computation, and sensing elements into self-organizing, adaptive, and multi-functional systems. We

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Energy-Efficient Data Multicast in Multi-Hop Wireless Networks, with a few closely positioned neighbour nodes using low power communication schemes. High-rate (multimedia) data networks, sensor networks, and voice communications are seen as three main application domains of MHWNs. While MHWNs open many new research and economic opportunities, they simultaneousl