Enhanced the Weighted Centroid Localization Algorithm Based on Received Strength Signal in Indoor Wireless Sensor Network

Medhav Kumar Goonjur (Orange Business Services (Mauritius) Ltd, Mauritius)
Irfan Dwiguna Sumitra (Magister Sistem Informasi, Universitas Komputer Indonesia, Indonesia)
Sri Supatmi (Magister Sistem Informasi, Universitas Komputer Indonesia, Indonesia)

International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Vol 1 No 1 (2020): International Journal of Informatics, Information System and Computer Engineering

A challenging problem that arises in the Wireless Sensor Network (WSN) is localization. It is essential for applications that need information about target positions, are inside an indoor environment. The Localization scheme presented in this experiment consists of four anchor nodes that change their position coordinates and one target node that is used to control the distance. The Localization algorithm designed in this paper makes use of the combination of two algorithms; the Received Strength Signal Indication (RSSI) and Weight Centroid Localization Algorithm (WCLA), called the RSSI-WCLA algorithm. The laboratory results show that the fusion between the RSSI-WCLA algorithm is outstanding than RSSI and WCLA algorithms itself in terms of localization accuracy. However, our proposed algorithm shows that the maximum error distance is less than 0.096m.