An improved Weighted Centroid Localization algorithm based on difference of estimated distances for Wireless Sensor Networks

With the widespread applicability of the Wireless Sensor Networks (WSN), localization of nodes is becoming more and more essential because of the invalidity of the massages without localization information. An algorithm called Weighted Centroid Localization (WCL) provides a simple method to localize the unknown nodes. The algorithm obtains the localization of unknown nodes by averaging the coordinates of their anchor nodes whose positions are inherently known. To improve the localization accuracy, WCL introduces the weights to attract the estimated position to approach the anchor node which has more influence, but its accuracy still has some margin for improvement. So some algorithms are presented to improve the accuracy of WCL and the modified-WCL (MWCL) algorithm is an efficient algorithm. Based on MWCL, WCL with difference of estimated distances (WCL-DED) is presented in this paper which further improves the accuracy.