Extension of Quadratic Means for Weighted Centroid Localization with ZigBee Technology

Wireless indoor communications, the mobile robot tracking is the one of application in wireless sensor networks (WSNs). A one of promising localization algorithm in range-free algorithm is the weighted centroid algorithm (WCA). This work proposed the improved WCA with quadratic means based on received signal strength (RSS). The ZigBee operated at 2.45 GHz frequency was used to measure in the indoor environment. The results are discuss about the comparison of the typically WCA and the improved WCA. From the results, The 1 m. precision of improved WCA is 92% and WCA is 83%. Besides that, the improved WCA obtained the 17% no error estimated position.

[1]  Dario Petri,et al.  Accuracy of RSS-Based Centroid Localization Algorithms in an Indoor Environment , 2011, IEEE Transactions on Instrumentation and Measurement.

[2]  Shaoguo Xie.  Weighted Centroid Localization Algorithm Based on Normal Distribution in Wireless Sensor Networks , 2017 .

[3]  C. Muthu Ramya,et al.  Study on ZigBee technology , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[4]  Sinan Gezici,et al.  Ultra-wideband Positioning Systems: Theoretical Limits, Ranging Algorithms, and Protocols , 2008 .

[5]  M. Vossiek,et al.  Precise distance measurement with IEEE 802.15.4 (ZigBee) devices , 2008, 2008 IEEE Radio and Wireless Symposium.

[6]  Y. Forghani,et al.  A new weighted centroid localization algorithm in wireless sensor networks , 2008, 2008 11th International Conference on Computer and Information Technology.

[7]  J.F. Blinn,et al.  How to solve a Quadratic Equation , 2005, IEEE Computer Graphics and Applications.

[8]  Lisheng Xu,et al.  A study on 2D and 3D weighted centroid localization algorithm in Wireless Sensor Networks , 2011, 2011 3rd International Conference on Advanced Computer Control.