Orientation-aware indoor localization path loss prediction model for wireless sensor networks

Marc Lihan, Takeshi Tsuchiya, Keiichi Koyanagi

研究成果: Conference contribution

13 被引用数 (Scopus)

抄録

There have been a large amount of research and interest in the area of ubiquitous and indoor location aware computing in the past decade. Among several proposed algorithms, fingerprint algorithm stands as one of the most accurate systems for localization. However, there is a lack of theoretical basis and understanding on the orientation of the user. This paper presents a model for orientation-aware indoor location tracking system using a Zigbee based protocol wireless sensor called Sun's SPOT (Small Programmable Object Technology). Our experiment shows better accuracy in location tracking when orientation and attenuation factors are considered for the path loss prediction model than the traditional path loss model. Orientation-aware fingerprint algorithm is also examined in our experiment to have a basis of comparison on an empirical algorithm.

本文言語English
ホスト出版物のタイトルNetwork-Based Information Systems - 2nd International Conference, NBiS 2008, Proceedings
ページ169-178
ページ数10
DOI
出版ステータスPublished - 2008 9 25
イベント2nd International Conference on Network-Based Information Systems, NBiS 2008 - Turin, Italy
継続期間: 2008 9 12008 9 5

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5186 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference2nd International Conference on Network-Based Information Systems, NBiS 2008
CountryItaly
CityTurin
Period08/9/108/9/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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