| Document Date: 2009-05-13 13:28:50
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City Seattle / Boston / New York / Stockholm / Washington / DC / / Company Tiered Sensor Networks / Embedded Networked Sensor Systems / C. Sharp / / Country Sweden / United States / / / Facility Harvard University / / IndustryTerm Low energy / query processing / energy load / leader election protocol / node-level machinery / energy-aware variant / in-network processing / energy scheduling policies / communication protocol / resource management / dynamic duty-cycling protocol / self-regulating algorithm / wireless sensor networks / energy use / sensor network operating systems / correct and efficient solutions / volcano-monitoring sensor network / offline static solution / energy-efficient and coordinated mechanisms / network-wide energy scheduling / energy saving technique / coordinated sleep algorithms / wireless microsensor networks / distributed systems / energy availability / energy / energy reserves / similar systems / energy resources / coordinated and global resource management / volcano monitoring sensor network / broadcast protocol / sensor networks / few tools / energy-efficient routing / Internet-based services / relative data utilities / estimated energy usage / energy requirements / conventional distributed systems / Wireless Communications Network / energy consumption profile / energy profile / energy tickets / energy budget / decentralized management / collaborative applications / feedback to applications / node-level energy schedule / network sensor systems / sensor network / randomized leader-election protocol / / OperatingSystem TinyOS / / Organization Harvard University / Matt Welsh School of Engineering and Applied Sciences / IEEE Computer Society / / Person Jason Waterman / Geoffrey Werner Challen / / Position RACP ticket agent / bandwidth broker / global ticket agent / broker / ticket agent / SS TA State sharing Ticket agent / local ticket agent / ticket agent at the clusterhead / centralized controller / local ticket agent / managing vector tickets / central controller / / ProvinceOrState Vermont / Hawaii / New York / Washington / / Technology leader election protocol / API / proposed algorithms / operating system / operating systems / coordinated sleep algorithms / routing protocol / Energyefficient communication protocol / dynamic duty-cycling protocol / TDMA / randomized leader-election protocol / self-regulating algorithm / flash / /
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Peloton: Coordinated Resource Management for Sensor Networks Jason Waterman, Geoffrey Werner Challen, and Matt Welsh School of Engineering and Applied Sciences, Harvard University {waterman,challen,mdw}@eecs.harvard.edu