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

Author:

Kumar Goonjur Medhav, ,Dwiguna Sumitra Irfan,Supatmi Sri, ,

Abstract

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.

Publisher

Universitas Komputer Indonesia

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of Dynamic Weighted Centroid and Optimization Model to Predict Mobile Device Location;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

2. Mobile Device Positioning by Using Dynamic Weighted Centroid Model;2022 Seventh International Conference on Informatics and Computing (ICIC);2022-12-08

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