Title :
Notice of Retraction
Improved algorithm of the cycle of refinement based on RSSI
Author :
Yan Jiajun ; Lei Yong
Author_Institution :
Sch. of Electr. & Inf. Eng., Sichuan Univ., Chengdu, China
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.
Zigbee-based wireless sensor network technology attracted widespread attention in various fields, unknown nodes location measurement in the wireless network even become a hot topic. The traditional method about the unknown nodes location measurement is based on RSSI, or Two-phase positioning cycle refinement. This paper presents an improved algorithm of the cycle of refinement based on RSSI location algorithm for least squares estimation. The weight of node was introduced on the base of the traditional cycle of refinement algorithm, and discard the node whose value of weight is outside the minimum weight, this algorithm use the weighted triangle center of gravity algorithm in the refinement stage. minimize the influence which was brought by the nodes whose measurement error were large. Simulation results show that errors exist by using this algorithm , but more accurate than traditional algorithms.
Keywords :
Zigbee; least squares approximations; wireless sensor networks; RSSI; least squares estimation; two-phase positioning cycle refinement; unknown nodes location measurement; weighted triangle center of gravity algorithm; wireless network; zigbee-based wireless sensor network technology; Algorithm design and analysis; Coordinate measuring machines; Educational institutions; Gravity; Signal processing algorithms; Software algorithms; Wireless sensor networks; location; valve of weight; weighted center of gravity; wireless sensor;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
DOI :
10.1109/PEAM.2011.6135046