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Accurate prediction of power consumption in sensor networks
Publikationstyp
Conference Paper
Date Issued
2005-12-01
Sprache
English
Author(s)
Volume
2005
Start Page
37
End Page
44
Article Number
1469097
Citation
Proceedings of the Second IEEE Workshop on Embedded Networked Sensors: 37-44 (2005)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
Energy 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, energy 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 (Accurate Prediction of Power Consumption), a novel evaluation tool to quantitatively predict energy 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 energy consumption of sensor nodes. Consequently, it prevents 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. Thus, it enables a highly precise estimation of the overall lifetime of a sensor network. © 2005 IEEE.
DDC Class
333.7: Natural Resources, Energy and Environment
005: Computer Programming, Programs, Data and Security