Improved Indoor Localization System Using Statistical AP Selection Method Based on RSSI

Shigeyuki Tateno, Tong Li, Yu Wu, Ziyuan Wang

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Nowadays, the demand for nursing care service has been increasing rapidly with the growth of aging population and presence of chronic diseases. To ease the problem of workforce shortage in healthcare facilities, a novel remote monitoring system is proposed based on wireless communication. The developed system applied collected Received signal strength indicator (RSSI) for acquiring the position of patients and the elderly. Several methods based on RSSI are usually used like maximum likelihood estimation and trilateration. However, accuracies of these methods are not ideal for localization due to abnormal RSSI value caused by random reflection or refraction of radio propagation. In this paper, statistical AP selection method is applied to achieve distribution situation of trilateration results. Then Centroid and Kernel Density Estimation method are utilized to obtain estimation points according to distribution of combination. The experimental result shows that the localization system is sufficient with the improved strategy on positioning.

本文言語English
ホスト出版物のタイトル2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1652-1657
ページ数6
ISBN(電子版)9784907764609
DOI
出版ステータスPublished - 2018 10 15
イベント57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018 - Nara, Japan
継続期間: 2018 9 112018 9 14

Other

Other57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
国/地域Japan
CityNara
Period18/9/1118/9/14

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 制御と最適化
  • 器械工学

フィンガープリント

「Improved Indoor Localization System Using Statistical AP Selection Method Based on RSSI」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル