Research Article
Indoor WLAN Deployment Optimization Based on Error Bound of Neighbor Matching
@INPROCEEDINGS{10.1007/978-3-319-52730-7_33, author={Feng Qiu and Mu Zhou and Zengshan Tian and Yunxia Tang and Qiao Zhang}, title={Indoor WLAN Deployment Optimization Based on Error Bound of Neighbor Matching}, proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers}, proceedings_a={MLICOM}, year={2017}, month={2}, keywords={WLAN Network optimization Location fingerprinting Neighbor matching Error bound}, doi={10.1007/978-3-319-52730-7_33} }- Feng Qiu
Mu Zhou
Zengshan Tian
Yunxia Tang
Qiao Zhang
Year: 2017
Indoor WLAN Deployment Optimization Based on Error Bound of Neighbor Matching
MLICOM
Springer
DOI: 10.1007/978-3-319-52730-7_33
Abstract
In this paper, we propose a novel indoor Wireless Local Area Network (WLAN) deployment optimization approach based on the error bounds of Neighbor Matching Algorithms (NMAs). We derive out the closed-form solution to the localization errors of NMAs with respect to the environmental size, interval of Reference Points (RPs), number of neighbors, and locations of Access Points (APs). Based on the requirement of localization precision, as well as networking overhead, we optimize the networking parameters, like the interval of RPs, number of neighbors, and locations of APs. Finally, the extensive experiments are conducted to demonstrate that the proposed approach can effectively improve the localization precision of NMAs in indoor WLAN environment.
