Simple algorithm aggregation improves signal strength based localization

In this paper we propose using algorithm aggregation to improve signal strength based localization performance. Prior work comparing a spectrum of received signal strength (RSS) based localization algorithms concluded that their performance is strikingly similar and none of them manage to localize objects accurately all the time. We, however, show that despite such similarity in average localization accuracy, simple algorithm aggregation can improve performance. Specifically, comparing with point-based algorithms, the performance improvement ranges from 23% (when aggregating 2 algorithms) to 51% (when aggregating all 12 algorithms we consider); comparing with area- based algorithms, aggregation offers comparable accuracy with much higher and directly controllable precision. As a guideline for the practical use of aggregation, our experimentation shows that aggregating any 3 or 4 algorithms out of our 12 algorithms will be able to achieve a good performance gain.

Title	Simple algorithm aggregation improves signal strength based localization
Creator	Martin, R. P.
Creator	Li, Xiaoyan
Publisher	Proceedings of the International Symposium on Wireless Pervasive Computing
Academic Department	Computer Science
Division	Natural Sciences
Organization	Lafayette College
Date Issued	May 2008
Date Available	2010-01-13T21:27:18Z
Type	Article
Language	English
Bibliographic Citation	Li, X. and R. P. Martin (7-9 May 2008) "Simple algorithm aggregation improves signal strength based localization." Proceedings of the International Symposium on Wireless Pervasive Computing, 540-544.
Standard Identifier	DOI 10.1109/ISWPC.2008.4556266
Standard Identifier	Handle 10385/561
Permalink	http://hdl.handle.net/10385/561
Rights Statement	In Copyright
Rights Holders	IEEE