Robust Sequence-Based Localization in Acoustic Sensor Networks
Naigao Jin, Xin Zhou, Zihan Wang, Yu Liu, Lei Wang
Abstract
Acoustic source localization in sensor network is a challenging task because of severe constraints on cost, energy, and effective range of sensor devices. To overcome these limitations in existing solutions, this paper formally describes, designs, implements, and evaluates a Half Plane Intersection method to Sequence-Based Localization, i.e., HPI-SBL, in distributed smartphone networks. The localization space can be divided into distinct regions, and each region can be uniquely identified by the node sequence that represents the ranking of distances from the reference nodes to the region. The key idea behind HPI-SBL is to turn the localization problem into half-plane intersection by processing the node sequence. The proposed design is evaluated through extensive simulations and physical experiments in an indoor test-bed with 30 smartphone nodes. Evaluation results show that HPI-SBL can effectively locate the acoustic source with good robustness.
BibTeX
@inproceedings{icassp2018_robustsequenceba,
title = {Robust Sequence-Based Localization in Acoustic Sensor Networks},
author = {Naigao Jin and Xin Zhou and Zihan Wang and Yu Liu and Lei Wang},
booktitle = {ICASSP 2018},
year = {2018}
}