Title :
The Study of the Weighted Centroid Localization Algorithm Based on RSSI
Author :
Zu-min Wang ; Yi Zheng
Author_Institution :
Internet of Things Lab., DaLian Univ., Dalian, China
Abstract :
Aiming at the wireless sensor network (WSN) positioning of the centroid localization algorithm with the problem of inaccurate positioning, this paper proposes an improved weighted centroid localization algorithm based on RSSI. This algorithm regard the distance between the unknown node and the reference of anchor nodes as the weight in centroid localization algorithm, make full use of the unknown node received signal strength indicator, by attaching the anchor node weight size to determine the weight of the reference node in the process of the centroid localization algorithm, so as to improve the positioning accuracy of traditional localization algorithm. Using the MATLAB simulation platform analysis it is concluded that the improved weighted centroid localization algorithm is better than traditional centroid localization algorithm, to some extent improving the positioning accuracy and reduce the positioning error, conforming to the requirements of the wireless sensor network localization.
Keywords :
sensor placement; wireless sensor networks; Matlab; RSSI; anchor node reference; the unknown node received signal strength indicator; weighted centroid localization algorithm; wireless sensor network positioning; Accuracy; Algorithm design and analysis; Attenuation; Mathematical model; Propagation losses; Wireless communication; Wireless sensor networks; Centroid localization algorithm; MATLAB; Received signal strength indicator; WSN;
Conference_Titel :
Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
Print_ISBN :
978-1-4799-7090-2
DOI :
10.1109/WCSN.2014.63