IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method

Seungwoo Lee; Hyojeong Shin; Rhan Ha; Hojung Cha

doi:10.1016/j.comcom.2013.10.008

IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method

Seungwoo Lee, Hyojeong Shin, Rhan Ha, Hojung Cha

College of Computing

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

With the widespread use of mobile devices equipped with various types of sensors, the need for location awareness in mobile environments is increasing. Many range-based approaches focus on localization accuracy but are vulnerable to ranging noises. In this paper, we propose a practical mechanism for a mobile object locating system. The mechanism applies the bootstrap particle filter and likelihood functions to the IEEE802.15.4a Chirp Spread Spectrum (CSS) ranging functionality. Based on the empirical characteristics of the prototype hardware, we developed an accurate and practical localization mechanism by using a CSS-specific adaptive likelihood distribution in real environments. The simulation and experiment results show that the proposed scheme outperforms previous techniques.

Original language	English
Pages (from-to)	13-25
Number of pages	13
Journal	Computer Communications
Volume	38
DOIs	https://doi.org/10.1016/j.comcom.2013.10.008
Publication status	Published - 2014 Feb 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government, Ministry of Education, Science and Technology (Nos. 2013-027363, 2013-023635 ).

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1016/j.comcom.2013.10.008

Cite this

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title = "IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method",

abstract = "With the widespread use of mobile devices equipped with various types of sensors, the need for location awareness in mobile environments is increasing. Many range-based approaches focus on localization accuracy but are vulnerable to ranging noises. In this paper, we propose a practical mechanism for a mobile object locating system. The mechanism applies the bootstrap particle filter and likelihood functions to the IEEE802.15.4a Chirp Spread Spectrum (CSS) ranging functionality. Based on the empirical characteristics of the prototype hardware, we developed an accurate and practical localization mechanism by using a CSS-specific adaptive likelihood distribution in real environments. The simulation and experiment results show that the proposed scheme outperforms previous techniques.",

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AU - Shin, Hyojeong

AU - Ha, Rhan

AU - Cha, Hojung

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government, Ministry of Education, Science and Technology (Nos. 2013-027363, 2013-023635 ).

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AB - With the widespread use of mobile devices equipped with various types of sensors, the need for location awareness in mobile environments is increasing. Many range-based approaches focus on localization accuracy but are vulnerable to ranging noises. In this paper, we propose a practical mechanism for a mobile object locating system. The mechanism applies the bootstrap particle filter and likelihood functions to the IEEE802.15.4a Chirp Spread Spectrum (CSS) ranging functionality. Based on the empirical characteristics of the prototype hardware, we developed an accurate and practical localization mechanism by using a CSS-specific adaptive likelihood distribution in real environments. The simulation and experiment results show that the proposed scheme outperforms previous techniques.

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IEEE 802.15.4a CSS-based mobile object locating system using sequential Monte Carlo method

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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