Bo Cheng, Cailian Chen, Zhezhuang Xu, Haoran Li, X. Guan
{"title":"Wireless sensor networks based localization for audio-source: A GCC-GA method","authors":"Bo Cheng, Cailian Chen, Zhezhuang Xu, Haoran Li, X. Guan","doi":"10.1109/WOWMOM.2010.5534950","DOIUrl":null,"url":null,"abstract":"It is a very important and challenging task to localize an audio-source in wireless sensor networks (WSNs). One of efficient methods for audio-source localization is the so-called time difference of arrival (TDOA) based approach. In this paper, we propose a novel localization method based on Generalized Cross Correlation-Genetic Algorithm (GCC-GA). It utilizes GCC method to calculate the TDOA and GA to improve the localization accuracy. The proposed method is implemented in a real grid wireless sensor network. The experimental results show that the network can estimate the source location with better accuracy and lower complexity.","PeriodicalId":384628,"journal":{"name":"2010 IEEE International Symposium on \"A World of Wireless, Mobile and Multimedia Networks\" (WoWMoM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on \"A World of Wireless, Mobile and Multimedia Networks\" (WoWMoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOWMOM.2010.5534950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
It is a very important and challenging task to localize an audio-source in wireless sensor networks (WSNs). One of efficient methods for audio-source localization is the so-called time difference of arrival (TDOA) based approach. In this paper, we propose a novel localization method based on Generalized Cross Correlation-Genetic Algorithm (GCC-GA). It utilizes GCC method to calculate the TDOA and GA to improve the localization accuracy. The proposed method is implemented in a real grid wireless sensor network. The experimental results show that the network can estimate the source location with better accuracy and lower complexity.