@inproceedings{5d5f9161e09d49a6b42e877d8e4ac7fb,
title = "Unbiased estimation localization for wireless sensor networks",
abstract = "Considering the biased estimation and inaccurate localization in WSNs, we propose the unbiased estimation localization. For average hop distance, the deviation is introduced to improve the solution. Then the node distance is shown in a system of equations which can be solved by Least Square Method. By formula transformation, this process is based on three parameters. The calculated result uses the deviation in average hop distance estimation to balance the weight. The final result combines the deviation and Least Square Method. Its simulation results are compared with other method which performs better in accuracy.",
keywords = "Localization, Unbiased Estimation, WSNs, Weight Balance",
author = "Zhaoyang Wang and Baihai Zhang and Senchun Chai and Lingguo Cui and Yuting Bai",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th Chinese Control and Decision Conference, CCDC 2018 ; Conference date: 09-06-2018 Through 11-06-2018",
year = "2018",
month = jul,
day = "6",
doi = "10.1109/CCDC.2018.8408276",
language = "English",
series = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6521--6524",
booktitle = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",
address = "United States",
}