Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks

Wenzhan ZHU; Weiling ZHENG; Dian ZHANG

doi:10.1109/GLOCOM.2018.8647832

Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks

Wenzhan ZHU
, Weiling ZHENG
, Dian ZHANG^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

1 Citation (Scopus)

Abstract

Nowadays transceiver-free (also referred as Device-free) localization by using Radio Signal Strength (RSS) is a hot topic for researchers due to its wide applicability. But RSS is easily affected by indoor environment, resulting in dense deployment of reference nodes. Some hybrid systems have already been proposed to help RSS localization, but most of them require additional hardware support. In order to solve this problem, in this paper, we propose two algorithms, which leverage Packet Received Rate (PRR) to help RSS localization without additional hardware support. Specifically, when reference nodes are sparsely deployed and RSS is very weak, our approach is able to accurately localize the target. Based on sparsely wireless sensor network, the experiment results show that the localization accuracy of our approach outperforms the pure RSS based approach by about 12.8%.

Original language	English
Title of host publication	2018 IEEE Global Communications Conference, GLOBECOM 2018 : Proceedings
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538647271
ISBN (Print)	9781538647288
DOIs	https://doi.org/10.1109/GLOCOM.2018.8647832
Publication status	Published - 2018
Externally published	Yes
Event	2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2018 IEEE Global Communications Conference, GLOBECOM 2018
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	9/12/18 → 13/12/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

This research was supported in part by Shenzhen Peacock Talent Grant 827-000175, Guangdong Pre-national Project 2014GKXM054, Guangdong Natural Science Foundation 2016A030313036, 2017 Guangdong Undergraduate Teaching Quality and Teaching Reform Project 839-0000026812.

Keywords

None-Line-Of-Sight
PRR
RSS
Transceiver-free localization

Access to Document

10.1109/GLOCOM.2018.8647832

Cite this

@inproceedings{eea9a6832ddc4551ad5faebf280c0790,

title = "Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks",

abstract = "Nowadays transceiver-free (also referred as Device-free) localization by using Radio Signal Strength (RSS) is a hot topic for researchers due to its wide applicability. But RSS is easily affected by indoor environment, resulting in dense deployment of reference nodes. Some hybrid systems have already been proposed to help RSS localization, but most of them require additional hardware support. In order to solve this problem, in this paper, we propose two algorithms, which leverage Packet Received Rate (PRR) to help RSS localization without additional hardware support. Specifically, when reference nodes are sparsely deployed and RSS is very weak, our approach is able to accurately localize the target. Based on sparsely wireless sensor network, the experiment results show that the localization accuracy of our approach outperforms the pure RSS based approach by about 12.8\%.",

keywords = "None-Line-Of-Sight, PRR, RSS, Transceiver-free localization",

author = "Wenzhan ZHU and Weiling ZHENG and Dian ZHANG",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Global Communications Conference, GLOBECOM 2018 ; Conference date: 09-12-2018 Through 13-12-2018",

year = "2018",

doi = "10.1109/GLOCOM.2018.8647832",

language = "English",

isbn = "9781538647288",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

publisher = "IEEE",

booktitle = "2018 IEEE Global Communications Conference, GLOBECOM 2018 : Proceedings",

}

ZHU, W, ZHENG, W & ZHANG, D 2018, Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks. in 2018 IEEE Global Communications Conference, GLOBECOM 2018 : Proceedings., 8647832, Proceedings - IEEE Global Communications Conference, GLOBECOM, IEEE, 2018 IEEE Global Communications Conference, GLOBECOM 2018, Abu Dhabi, United Arab Emirates, 9/12/18. https://doi.org/10.1109/GLOCOM.2018.8647832

Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks. / ZHU, Wenzhan; ZHENG, Weiling; ZHANG, Dian.
2018 IEEE Global Communications Conference, GLOBECOM 2018 : Proceedings. IEEE, 2018. 8647832 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

TY - GEN

T1 - Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks

AU - ZHU, Wenzhan

AU - ZHENG, Weiling

AU - ZHANG, Dian

PY - 2018

Y1 - 2018

N2 - Nowadays transceiver-free (also referred as Device-free) localization by using Radio Signal Strength (RSS) is a hot topic for researchers due to its wide applicability. But RSS is easily affected by indoor environment, resulting in dense deployment of reference nodes. Some hybrid systems have already been proposed to help RSS localization, but most of them require additional hardware support. In order to solve this problem, in this paper, we propose two algorithms, which leverage Packet Received Rate (PRR) to help RSS localization without additional hardware support. Specifically, when reference nodes are sparsely deployed and RSS is very weak, our approach is able to accurately localize the target. Based on sparsely wireless sensor network, the experiment results show that the localization accuracy of our approach outperforms the pure RSS based approach by about 12.8%.

AB - Nowadays transceiver-free (also referred as Device-free) localization by using Radio Signal Strength (RSS) is a hot topic for researchers due to its wide applicability. But RSS is easily affected by indoor environment, resulting in dense deployment of reference nodes. Some hybrid systems have already been proposed to help RSS localization, but most of them require additional hardware support. In order to solve this problem, in this paper, we propose two algorithms, which leverage Packet Received Rate (PRR) to help RSS localization without additional hardware support. Specifically, when reference nodes are sparsely deployed and RSS is very weak, our approach is able to accurately localize the target. Based on sparsely wireless sensor network, the experiment results show that the localization accuracy of our approach outperforms the pure RSS based approach by about 12.8%.

KW - None-Line-Of-Sight

KW - PRR

KW - RSS

KW - Transceiver-free localization

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U2 - 10.1109/GLOCOM.2018.8647832

DO - 10.1109/GLOCOM.2018.8647832

M3 - Conference paper (refereed)

AN - SCOPUS:85063436029

SN - 9781538647288

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

BT - 2018 IEEE Global Communications Conference, GLOBECOM 2018 : Proceedings

PB - IEEE

T2 - 2018 IEEE Global Communications Conference, GLOBECOM 2018

Y2 - 9 December 2018 through 13 December 2018

ER -

Beyond RSS: A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks

Abstract

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Keywords

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