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Energy efficient wireless sensor networks phd thesis

energy efficient wireless sensor networks phd thesis

todays mobile devices. 8,068,433 : Low power operation of networked devices. 7,583,587 : Fault Detection and Diagnosis. 7,516,049 : Wireless performance analysis system. 6,664,925 : Method and system for determining the location of a mobile computer. 7,330,893 : Adaptive allocation of last-hop bandwidth based on monitoring of end-to-end throughput. 8,495,129 : Energy-aware code offload for mobile devices.

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7,489,645 : Mesh networks with end device recognition. 7,283,834 : Multi-radio unification protocol. 6,795,865 : Adaptively changing weights for fair scheduling in broadcast environments. Awards Honors, aCM sigmobile Test of Time Award 2018, Association of Computing Machinery; Citation: Wake on Wireless pioneered the systematic use of multiple radios to separating data and control channels in a battery-constrained device thus minimizing the overall energy consumption. Candidate in Computer Science (LCS) Massachusetts Institute of Technology (Summer 2000) (now at Ruckus Wireless Inc.) Worked on mobility management within The hack malware choice Network and its deployment Li Erran. 7,363,008 : Spectrum sharing in the unlicensed band.

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