| Document Date: 2008-08-26 18:24:11
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City Node / Raleigh / Cambridge / / Company Distributed Systems / ApplicationBased Systems / General Terms Design Keywords Wireless Sensor Networks / BACKGROUND AND MOTIVATION Wireless / Lance / / Country Ecuador / United States / / Currency USD / / / Event Natural Disaster / / Facility Harvard EECS building / University of California / Harvard University / Optimizer Base station Policy / Golden Gate Bridge / / IndustryTerm bandwidth-dominant and energy-dominant constraints / multidimensional knapsack solution / event-detection algorithm / sensor network applications / signal-processing operations / energy allocation decisions / suboptimal solutions / geophysical monitoring sensor network / energy schedule / energy cost estimation algorithm / offline optimal algorithm / energy breakdown / real time / download protocol / query processor / energy use / energy scheduling / download energy cost vector c¯i / multihop routing protocol / transport protocol / energy remaining / node energy / energy usage / energy / target applications / Low-power wireless sensors / camera networks / collection protocol / energy consumption / sensor networks / offline solution / external utilities / energy management / slave devices / bulk-transfer protocol / energy efficiency / energy harvesting / interface through which applications / primitive energy costs / transfer protocol / sensor network / data-rate sensor networks / policy module chain / wireless array / energy management framework / energy bottleneck / storage management / energy capacity / wireless network / energy downloading / energy-constrained node / large networks / transfer protocols / multihop transfer protocol / Wireless Sensor Networks / energy scheduling policy / low-power wireless sensor nodes / geophysical monitoring applications / delay-tolerant and priority-driven query processor / energy availability / sensor node software / energy costs / industrial equipment / multihop spanningtree protocol / heuristic algorithm / energy cost / real-time data needs / stream processing applications / data-collection protocol / online solution / energy requirement / energy constraint domi / linear filter chain / geophysical monitoring systems / time synchronization protocol / accomplished using a reliable transfer protocol / / NaturalFeature Tungurahua volcano / Reventador volcano / / OperatingSystem UNIX / TinyOS / / Organization Harvard University / University of California / Berkeley / Matt Welsh School of Engineering and Applied Sciences / / Person Stephen Dawson-Haggerty / Lance Abstract / Geoffrey Werner-Allen / / Position system designer / download manager / biologist / cost estimator / researcher / manager runs / controller / General / / Product Real-Time Seismic Amplitude Measurement / / ProgrammingLanguage SQL / DC / Python / Perl / / ProvinceOrState California / North Carolina / Massachusetts / / Technology API / data-collection protocol / energy cost estimation algorithm / query processor / bulk-transfer protocol / download protocol / multihop spanningtree protocol / RCRT protocol / specific routing protocol / flash / Storage summaries Optimizer Base station Policy modules Transfer protocol / GUI / multihop routing protocol / event-detection algorithm / UNIX / Perl / delay-tolerant and priority-driven query processor / time synchronization protocol / collection protocol / flash memory / load balancing / multihop transfer protocol / transport protocol / MAC protocol / simulation / / URL http /
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Lance: Optimizing High-Resolution Signal Collection in Wireless Sensor Networks Geoffrey Werner-Allen, Stephen Dawson-Haggerty? , and Matt Welsh School of Engineering and Applied Sciences, Harvard University, Cambridge,