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

Wenzhan ZHU, Weiling ZHENG, Dian ZHANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

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 languageEnglish
Title of host publication2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647271
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
CountryUnited Arab Emirates
CityAbu Dhabi
Period9/12/1813/12/18

Fingerprint

radio signals
transmitter receivers
Transceivers
Wireless Networks
Wireless networks
Target
hardware
Hardware
Vertex of a graph
Hybrid systems
Hybrid Systems
Leverage
Wireless Sensor Networks
Wireless sensor networks
Localization
sensors
Experiment

Keywords

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

Cite this

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] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2018.8647832
ZHU, Wenzhan ; ZHENG, Weiling ; ZHANG, Dian. / Beyond RSS : A PRR Aided RSS System to Localize Transceiver-Free Target in Sparse Wireless Networks. 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018.
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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{\%}.",
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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, Institute of Electrical and Electronics Engineers Inc., 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. Institute of Electrical and Electronics Engineers Inc., 2018. 8647832.

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

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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%.

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ZHU W, ZHENG W, ZHANG D. 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. Institute of Electrical and Electronics Engineers Inc. 2018. 8647832 https://doi.org/10.1109/GLOCOM.2018.8647832