Abstract
In recent years, many localization algorithms are proposed for wireless sensor networks because that is crucial to identifying the accurate positions of sensor nodes. This study proposes an analytic localization algorithm by utilizing radical centers. Assume that a target node can measure its distances to four or more anchor nodes. By picking four distance measurements to four anchor nodes, a radical center is computed and treated as the target node location. To further improve and fuse these estimations, effective filtering mechanisms are then proposed to filter out the improper estimations. Afterwards, the remaining radical centers are averaged, and the solution is the final estimation of the target node location. The location errors of the proposed method and the conventional Minimum Mean Square Error method (MMSE) are analytically compared. Extensive computer simulations were carried out and the results verify the advantage of the proposed location algorithm over the MMSE approach.
| Original language | English |
|---|---|
| Title of host publication | Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 |
| Pages | 135-141 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2014 Feb 17 |
| Event | Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan Duration: 2013 Aug 23 → 2013 Aug 25 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 260 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Other
| Other | Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 |
|---|---|
| Country | Taiwan |
| Period | 13-08-23 → 13-08-25 |
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All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
Cite this
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Localization algorithm for wireless sensor networks. / Chen, Yin Chun; Deng, Der-Jiunn; Chen, Yeong Sheng.
Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013. 2014. p. 135-141 (Lecture Notes in Electrical Engineering; Vol. 260 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Localization algorithm for wireless sensor networks
AU - Chen, Yin Chun
AU - Deng, Der-Jiunn
AU - Chen, Yeong Sheng
PY - 2014/2/17
Y1 - 2014/2/17
N2 - In recent years, many localization algorithms are proposed for wireless sensor networks because that is crucial to identifying the accurate positions of sensor nodes. This study proposes an analytic localization algorithm by utilizing radical centers. Assume that a target node can measure its distances to four or more anchor nodes. By picking four distance measurements to four anchor nodes, a radical center is computed and treated as the target node location. To further improve and fuse these estimations, effective filtering mechanisms are then proposed to filter out the improper estimations. Afterwards, the remaining radical centers are averaged, and the solution is the final estimation of the target node location. The location errors of the proposed method and the conventional Minimum Mean Square Error method (MMSE) are analytically compared. Extensive computer simulations were carried out and the results verify the advantage of the proposed location algorithm over the MMSE approach.
AB - In recent years, many localization algorithms are proposed for wireless sensor networks because that is crucial to identifying the accurate positions of sensor nodes. This study proposes an analytic localization algorithm by utilizing radical centers. Assume that a target node can measure its distances to four or more anchor nodes. By picking four distance measurements to four anchor nodes, a radical center is computed and treated as the target node location. To further improve and fuse these estimations, effective filtering mechanisms are then proposed to filter out the improper estimations. Afterwards, the remaining radical centers are averaged, and the solution is the final estimation of the target node location. The location errors of the proposed method and the conventional Minimum Mean Square Error method (MMSE) are analytically compared. Extensive computer simulations were carried out and the results verify the advantage of the proposed location algorithm over the MMSE approach.
UR - http://www.scopus.com/inward/record.url?scp=84893773738&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893773738&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-7262-515
DO - 10.1007/978-94-007-7262-515
M3 - Conference contribution
AN - SCOPUS:84893773738
SN - 9789400772618
T3 - Lecture Notes in Electrical Engineering
SP - 135
EP - 141
BT - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
ER -