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System-Level Power Optimization for Wireless Multimedia Communication Power Aware Computing focuses on emerging issues in power aware portable 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 computing, mobile communication and networking. The authors address integrative power optimization studies that jointly consider computing, communications and networking. The chapters reflect four clusters of work: theoretical studies, work related to networks of sensors, techniques for optimizing hardware and software design, and application-level issues.
Sommario
Total Power Optimization for Wireless Multimedia Communication.- Energy-Aware TDMA-Based MAC for Sensor Networks.- Power Aware Packet Routing Control in Ad-Hoc Wireless Networks.- Optimal Node Scheduling for Effective Energy Usage in Sensor Networks.- Energy-Efficient Data Multicast in Multi-Hop Wireless Networks.- Low-Energy Software Optimization for the ARM7 Processor: The Software Scheduling Approach.- Power-Aware Embedded System Design Using the Milan Framework.- System-Level Energy Tradeoffs for Collaborative Computation in Wireless Networks.- Optimizing Ipsec for Energy-Efficient Secure Wireless Sessions.- Network-Aware Content Shaping for Energy Efficient Wireless Web Access.- Indirect HTTP: An Energy Efficient Extension of Hypertext Transfer Protocol for Web Browsing.
Riassunto
System-Level Power Optimization for Wireless Multimedia Communication Power Aware Computing focuses on emerging issues in power aware portable 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 computing, mobile communication and networking. The authors address integrative power optimization studies that jointly consider computing, communications and networking. The chapters reflect four clusters of work: theoretical studies, work related to networks of sensors, techniques for optimizing hardware and software design, and application-level issues.
