2011
DOI: 10.4028/www.scientific.net/amr.317-319.1114
|View full text |Cite
|
Sign up to set email alerts
|

A Kind of Improved Triangle Centroid Algorithm Based on RSSI-Ranged

Abstract: Node self-localization is one of the key technologies in the wireless sensor networks. The localization technology based on RSSI is a focus studied at the present stage. For the localization error of RSSI-ranged method is relatively great, a kind of triangle centroid algorihms based on RSSI-ranged is proposed. The simulation results show that measurement error of this algorithm effective decrease as to tranditional triangle centroid algorithm based on RSSI-ranged.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2014
2014
2014
2014

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 11 publications
(9 reference statements)
0
0
0
Order By: Relevance
“…Great breakthrough has made in the process of study RSSI location algorithm, some scholars focus on the combination RSSI with other algorithm [1,2]; and some scholars prefer to study the number and arrangement of anchor nodes [3,4]; many professors make their efforts to use filtering method to reduce the fluctuation of the RSSI value [5,6]; and also many graduate introducing Centroid of the triangle principle to Improve the positioning accuracy [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…Great breakthrough has made in the process of study RSSI location algorithm, some scholars focus on the combination RSSI with other algorithm [1,2]; and some scholars prefer to study the number and arrangement of anchor nodes [3,4]; many professors make their efforts to use filtering method to reduce the fluctuation of the RSSI value [5,6]; and also many graduate introducing Centroid of the triangle principle to Improve the positioning accuracy [7,8].…”
Section: Introductionmentioning
confidence: 99%