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AEON: accurate prediction of power consumption in sensor networks
Publikationstyp
Conference Paper
Date Issued
2005-03
Sprache
English
Author(s)
Herausgeber*innen
Start Page
72
End Page
76
Citation
4. GI/ITG KuVS Fachgespräch „Drahtlose Sensornetze“ 2005
Contribution to Conference
Publisher Link
Power consumption is a crucial characteristic of sensor networks and their applications, as sensor nodes are commonly battery driven. Although recent research focuses strongly on energy aware applications and operating systems, power consumption is still a limiting factor. Once sensor nodes are deployed, it is challenging and sometimes even impossible to change batteries. As a result, erroneous lifetime prediction causes high costs and may render a sensor network useless, before its purpose is fulfilled.
In this paper we present AEON, a novel evaluation tool to quantitatively predict power consumption of sensor nodes and whole sensor networks. Our energy model, based on measurements of node current draw and the execution of real code, enables accurate prediction of the actual power consumption of sensor nodes. Consequently, preventing erroneous assumptions on node and network lifetime. Moreover, our detailed energy model allows to compare different low power and energy aware approaches in terms of energy efficiency.
In this paper we present AEON, a novel evaluation tool to quantitatively predict power consumption of sensor nodes and whole sensor networks. Our energy model, based on measurements of node current draw and the execution of real code, enables accurate prediction of the actual power consumption of sensor nodes. Consequently, preventing erroneous assumptions on node and network lifetime. Moreover, our detailed energy model allows to compare different low power and energy aware approaches in terms of energy efficiency.
DDC Class
600: Technology