NDLI: Simple algorithm aggregation improves signal strength based localization

Content Provider	IEEE Xplore Digital Library
Author	Xiaoyan Li Martin, R.P.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Lafayette Coll., Easton, PA (Xiaoyan Li)
Abstract	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.
Starting Page	540
Ending Page	544
File Size	144011
Page Count	5
File Format	PDF
ISBN	9781424416523
DOI	10.1109/ISWPC.2008.4556266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-07
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance gain Machine learning algorithms Computer science Uncertainty Guidelines Wireless LAN Educational institutions Radio access networks Computer industry Size control
Content Type	Text
Resource Type	Article

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