Accuracy improvement in sensor localization system utilizing heterogeneous wireless technologies

Takahiro Yamamoto, Shigemi Ishida, Kousaku Izumi, Shigeaki Tagashira, Akira Fukuda

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

Sensor localization is one of the big problems when building large scale indoor sensor networks because GPS (Global Positioning System) is unavailable in indoor environments. We are developing ZigLoc, a sensor localization system using WiFi APs (access points) as references, which requires no additional infrastructure [1,2]. In ZigLoc, a sensor node measures RSS (received signal strength) of WiFi AP signals using a ZigBee (IEEE 802.15.4) module. Location of a sensor node is then estimated using fingerprints collected for a WiFi localization system. However, ZigLoc exhibits low accuracy due to the RSS offset derived by ZigBee and WiFi modules. The RSS offset is mainly caused by the channel bandwidth difference. In this paper, we present a differential fingerprinting method to improve localization accuracy. Our key idea is that we focus on RSS difference between WiFi APs. RSS difference between APs should be the same when we measure RSS using either ZigBee or WiFi modules. Differential fingerprinting only relies on RSS difference in fingerprint similarity calculation. We conducted experimental evaluations in a practical environment. The experimental evaluations reveal that ZigLoc accuracy was improved by approximately 26 % using the differential fingerprinting method.

本文言語英語
ホスト出版物のタイトル2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9784907626310
DOI
出版ステータス出版済み - 4月 2 2018
イベント10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 - Toyama, 日本
継続期間: 10月 3 201710月 5 2017

出版物シリーズ

名前2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
2018-January

その他

その他10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
国/地域日本
CityToyama
Period10/3/1710/5/17

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 安全性、リスク、信頼性、品質管理

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