@inproceedings{0fd45015d838480fb06901f6f43c865c,
title = "A cluster analysis-based localization scheme for wireless sensor networks using mobile anchor nodes with directional antennas",
abstract = "Precise location of sensor nodes is essential to the success of sensor network applications. Several localization methods based on mobile anchor nodes with directional antennas have been proposed. However, none of the methods was implemented by analyzing the directional antenna's radiation patterns with cluster analysis approaches. This paper presents a localization scheme based on the cluster analysis technique. The position of the sensor node can be determined using the scheme with the location information obtained by mobile anchor nodes equipped with directional antennas. The localization scheme has been implemented on an IRIS mote platform successfully. The experimental results show that the localization scheme achieves better accuracy than clustering algorithm K-means, statistical Mean and Median, and Received Signal Strength Indicator (RSSI) approaches.",
author = "Chang, {Yu Jung} and Ou, {Chia Ho} and Ssu, {Kuo Feng}",
note = "Funding Information: ACKNOWLEDGMENT This research was supported in part by the Ministry of Science and Technology of Taiwan under Contracts 105-2221-E-153-004, and 105-2221-E-006-175-MY2.; 4th IEEE International Conference on Applied System Innovation, ICASI 2018 ; Conference date: 13-04-2018 Through 17-04-2018",
year = "2018",
month = jun,
day = "22",
doi = "10.1109/ICASI.2018.8394489",
language = "English",
series = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1156--1158",
editor = "Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.} and Teen-Hang Meen",
booktitle = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",
address = "United States",
}