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Energy OPtimal ALgorithms for Mobile Internet: Stochastic Modeling, Performance Analysis and Optimal Control

NGI(2011)

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Abstract
EnergyOPAL research focused on algorithms which can enable an energy friendly future mobile Internet. Turning off the electronics of a wireless device is understood to be crucial for saving energy over idle periods. On the other hand, the responsiveness of the wireless network should not be compromised. Each node should try to adapt its power consumption profile to the traffic running through it. If each node is seen as an entity, cooperation among nodes is needed in order to achieve an efficient performance in terms of energy. Scheduling and power control plays a big role in this context. We identify important tradeoffs and provide optimal control as a proposed solution to this problem.
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Key words
Internet,mobile computing,optimal control,power aware computing,scheduling,stochastic processes,telecommunication control,EnergyOPAL research,energy friendly future mobile Internet,energy optimal algorithms,optimal control,performance analysis,power control,scheduling,stochastic modeling,wireless network responsiveness
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