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Xuzhou Jiangsu, China

Cheng X.,Anhui University | Zhu D.,Anhui University | Zhang S.,rception Mine Research Center | Zhu G.,Anhui University
Chinese Journal of Sensors and Actuators | Year: 2014

A least-squares differential correction based on RSSI-Newton location algorithm is presented in accordance with the low positioning accuracy lying in the Wireless Sensor Network (WSN) in this paper. In terms of RSSI ranging, correction coefficient had been firstly acquired by self-correcting of beacon nodes, and then had been applied to distance solving from unknown nodes to the beacon nodes; in terms of positioning calculations, utilizing character of simpleness of LS and the fast rate of convergence of Quasi-Newton algorithm, the initial value worked out by Quasi-Newton algorithm had been applied for the iterative refinement of unknown node coordinate with LS method. The simulation experiment showed that the accuracy of positioning algorithm presented is 36% higher compared with the traditional LS method. Source

Qiao X.,rception Mine Research Center | Qiao X.,Applied Technology Internet | Chang F.,rception Mine Research Center | Chang F.,Applied Technology Internet | And 4 more authors.
Chinese Journal of Sensors and Actuators | Year: 2014

This paper provided with one modifying average hopping distances based iterative algorithm for quasi-newton in WSN. It put forward improvement based on analysis DV-Hop algorithm progress and source of error: firstly, setting hop threshold, then optimizing anchor nodes; secondly, revising nodes hopping distance with new method and calculating distance between nodes by utilizing adjusted value of the corresponding anchor nodes hopping distances; finally, iterative optimizing least square solution of unknown node coordinates by quasi-newton method. Simulation result shows that the improved algorithm presented in this paper can effectively reduce the influence which evaluated error on location accuracy, and this algorithm is better than the existing improved DV-hop algorithm in precision. Source

Liu X.,rception Mine Research Center | Zhang X.,rception Mine Research Center | Hao L.,rception Mine Research Center | Yu W.,rception Mine Research Center | Wang J.,rception Mine Research Center
Chinese Journal of Sensors and Actuators | Year: 2012

There are many indoor location algorithms based on the fingerprinting. A new localization algorithm is proposed based on fingerprint application in coal mine roadway which has special environment characteristics. According to the characteristics of the wireless signal attenuation, we take the received signal strength 3 m far away from the access point as a threshold. If the received signal strength value of the equipment is more than threshold, the target is directly located at the access point. If RSS is less than the threshold, the estimated location is got from RSS database. In the coal mine, the speed of moving target is generally less than 10 m/s, and according to this characteristic, we set the distance less than 10 m between the first location and the second location. If the distance is more than 10 m, the second location is set to the middle point of two points. The two characteristics is applied to the Fingerprinting Algorithm and it can reduce the influence of environment to the signal strength effectively. Through the experiments, it shows that the location algorithm has higher precision. Source

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