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Summary: Joint Voltage and Modulation Scaling for Energy Harvesting Sensor Networks
Bo Zhang Robert Simon Hakan Aydin
Department of Computer Science
George Mason University, Fairfax, VA 22030
{bzhang3, simon, aydin}@cs.gmu.edu
Abstract
Energy harvesting is rapidly becoming a critical archi-
tectural component for CPS applications that use Wireless
Sensor Networks (WSNs). This paper presents an epoch-
based approach for energy management in resource-
constrained WSNs that utilize energy harvesting techniques.
Each epoch represents a time period over which energy
production can be reasonably predicted. We consider two
energy harvesting hardware models, one that allows con-
current harvesting and execution, and one that does not.
For both models we propose and analyze a resource man-
agement algorithm that combines energy harvesting with
dynamic voltage scaling and dynamic modulation scaling.
Our algorithm is optimal in the sense that it maximizes
energy reserve levels at individual nodes. We have evaluated
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