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Technology / Computer networking / Wireless sensor network / Network protocols / Routing algorithms / Routing / Delay-tolerant networking / Sensor node / Max-min fairness / Computing / Wireless networking / Network architecture


IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. ?, NO. ?, ? 20XX 1 Tula: Balancing Energy for Sensing and Communication in a Perpetual Mobile System
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Document Date: 2013-08-14 13:37:55


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File Size: 1,80 MB

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City

Seattle / Hanover / /

Company

Tula Rate Allocator Energy Consumed Energy Harvested Hardware / /

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Event

Force Majeure / /

Facility

College Drive / University of Washington / Dartmouth College / University of Massachusetts Amherst / Maryville College / University of Southern Mississippi / /

IndustryTerm

perpetual sensing systems / solar-powered tracking device / residual energy / mobile communication systems / energy limitations / surplus energy / allocation algorithm / energy waste / energy harvesting events / static mesh networks / perpetual systems / natural and manmade systems / harvest energy / dynamic and mobile networks / generated mesh network / in sparsely connected mobile networks / low-level energy profiling capabilities / energy failures / rate allocation algorithm / uncertain energy availability / mobile systems / mobile sensing systems / energy / local energy adaptation techniques / wasted energy / Wildlife tracking applications / idle energy costs / potential applications / local energy constraints / energy consumption / connected networks / sensor networks / Energy-rich nodes / in-situ sensor devices / power management / energy/rate allocator / harvested energy / perpetual networks / adaptive systems / energy plotfor / vehicular network / energy ratio / energy permit / sufficient energy / energy management / energy conditions / energy budget / social networks / energy harvesting / mobile sensor network / connected network / energy distribution / energy measurement hardware / harvested energy traces / energy-rich nodes collecting / mobile sensor networks / static networks / progressive filling algorithm / energy traces / energy harvesting variability / energy-constrained environment / harvested energy trace / energy awareness / Energy allocation problem formulation / wireless sensor networks / historical solar energy traces / delivery energy / on energy / average daily energy / sparse network / sparse mobile networks / energy availability / forward networks / adaptive sensing systems / energy costs / untethered mobile network / real energy measurements / sparse mobile network / energy cost / energy allocation / sensor applications / energy measurements / recent systems / disruption tolerant networking / energy budgets / solar energy / network management / sparse networks / measured solar energy / vehicular networks / energy harvesting information / on minimizing energy consumption / building robust perpetual systems / /

Organization

University of Washington / Sudikoff Lab / University of Massachusetts Amherst / Department of Biological Sciences / Dartmouth College / Computer Science Department / University of Southern Mississippi / Maryville College / Computer Science & Engineering Department / Natural Sciences Division / /

Person

Mark D. Corner / Joshua Ennen / Jan Mar May Jul / Aruna Balasubramanian / ULA A RCHITECTURE / /

Position

system designer / /

Product

Pentax K-x Digital Camera / TurtleNet / NesC / /

ProvinceOrState

Washington / New Hampshire / /

Region

Southern Mississippi / /

Technology

DTN routing algorithm / RapidLite algorithm / routing algorithm / allocation algorithm / GPS / progressive filling algorithm / rate allocation algorithm / routing protocol / distributed algorithm / DTN routing protocols / MOBILE COMPUTING / Random routing protocol / Simulation / be solved using a well-known progressive filling algorithm / /

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