@inproceedings{6ab2f272650d43f4985bdd745cd14ddd,
title = "Quadrant-based weighted centroid algorithm for localization in underground mines",
abstract = "Location sensing in wireless sensor networks (WSNs) is a critical problem when it comes to rescue operation in underground mines. Most of the existing research on node localization uses traditional centroid algorithm-based approach. However, such approaches have higher localization error, which leads to inaccurate node precision. This paper proposes a novel quadrant-based solution on weighted centroid algorithm that uses received signal strength indicator for range calculation and distance improvement by incorporating alternating path loss factor according to the mine environment. It also makes use of four beacon nodes instead of traditional three with weights applied to reflect the impact of each node for the centroid position. The weight factor applied is the inverse of the distance estimated. Simulation results show higher localization accuracy and precision as compared to traditional weighted centroid algorithms.",
keywords = "Centroid algorithm, Localization, RSSI, Sensor networks",
author = "Nazish Tahir and Karim, {Md Monjurul} and Kashif Sharif and Fan Li and Nadeem Ahmed",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 13th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2018 ; Conference date: 20-06-2018 Through 22-06-2018",
year = "2018",
doi = "10.1007/978-3-319-94268-1_38",
language = "English",
isbn = "9783319942674",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "462--472",
editor = "Wei Cheng and Wei Li and Sriram Chellappan",
booktitle = "Wireless Algorithms, Systems, and Applications - 13th International Conference, WASA 2018, Proceedings",
address = "Germany",
}