Undervolting in real world WSN applications: a long-term study

Publikationstyp
Conference Paper
Date Issued
2016-08-08
Sprache
English
Author(s)
Kulau, Ulf  
Rottmann, Stephan  
Schildt, Sebastian  
Balen, Johannes van  
Wolf, Lars  
TORE-URI
http://hdl.handle.net/11420/10895
Start Page
9
End Page
16
Article Number
7536287
Citation
Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016: 7536287, 9-16 (2016-08-08)
Contribution to Conference
12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016  
Publisher DOI
10.1109/DCOSS.2016.15
Scopus ID
2-s2.0-84985905978
Publisher
IEEE
The fault-tolerant character of WSN protocols and applications that do not assume completely reliable systems legitimize undervolting - a highly efficient energy management technique where the supply voltage is set below the minimum specifications. As has been shown in earlier work, by using the reliable IdealVolting undervolting scheme the lifetime of WSN applications can be increased significantly while keeping the node in a safe state even under rough environmental conditions. To show the usability of undervolting in a real world WSN deployment, we performed a long-term study of IdealVolting in a Smart Farming application. All measurements were performed on a generic outdoor testbed for WSNs (PotatoNet) which is also presented within this paper. We collected a long-term dataset of a WSN running for one farming season on a potato field to compare the reliability and performance characteristics of IdealVolting against a regular powered WSN.
DDC Class
004: Informatik