DocumentCode
3151120
Title
Notice of Retraction
RSSI based positioning error ranging removal of mixed
Author
Xiaoyong Yan ; Huanyan Qian
Author_Institution
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2011
fDate
16-18 April 2011
Firstpage
3498
Lastpage
3501
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
RSSI is widely used to measure the distance in the location of wireless sensor network. There are random errors and outliers in the RSSI signal. Usual algorithms cannot be used to delete the influence of the mixed errors. A location method is proposed for which removal of RSSI ranging error mixed in this paper on the analysis of error. The proposed method can delete outliers and filter random errors, improve the accuracy of the location and coverage rate of nodes. The simulation experiments show that our proposed method works well.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
RSSI is widely used to measure the distance in the location of wireless sensor network. There are random errors and outliers in the RSSI signal. Usual algorithms cannot be used to delete the influence of the mixed errors. A location method is proposed for which removal of RSSI ranging error mixed in this paper on the analysis of error. The proposed method can delete outliers and filter random errors, improve the accuracy of the location and coverage rate of nodes. The simulation experiments show that our proposed method works well.
Keywords
filtering theory; position control; wireless sensor networks; RSSI ranging error; RSSI signal; filter random errors; positioning error; wireless sensor network; Communication system security; Computer science; Distance measurement; Educational institutions; Measurement uncertainty; Wireless communication; Wireless sensor networks; distance measure based on RSSI; localization; outliers; random errors;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768375
Filename
5768375
Link To Document