RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent

The localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case...

Full description

Bibliographic Details
Main Authors: Jiyan Huang, Peng Liu, Wei Lin, Guan Gui
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/9/1452
_version_ 1811184803866738688
author Jiyan Huang
Peng Liu
Wei Lin
Guan Gui
author_facet Jiyan Huang
Peng Liu
Wei Lin
Guan Gui
author_sort Jiyan Huang
collection DOAJ
description The localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case that both the transmit power and PLE are unknown, have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In this paper, a novel RSS localization method with a closed-form solution based on a two-step weighted least squares estimator is proposed for the case with the unknown transmit power and uncertainty in PLE. Furthermore, the complete performance analysis of the proposed method is given in the paper. Both the theoretical variance and Cramer-Rao lower bound (CRLB) are derived. The relationships between the deterministic CRLB and the proposed stochastic CRLB are presented. The paper also proves that the proposed method can reach the stochastic CRLB.
first_indexed 2024-04-11T13:18:40Z
format Article
id doaj.art-ed1721f85e4d4b33ba639ee3ae733e89
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-04-11T13:18:40Z
publishDate 2016-09-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-ed1721f85e4d4b33ba639ee3ae733e892022-12-22T04:22:19ZengMDPI AGSensors1424-82202016-09-01169145210.3390/s16091452s16091452RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss ExponentJiyan Huang0Peng Liu1Wei Lin2Guan Gui3School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSpace Star Technology Co., Ltd. and State Key Laboratory of Space-Ground Integrated Information Technology, Beijing 100191, ChinaSchool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaDepartment of Electronics and Information Systems, Akita Prefectural University, Akita 015-0055, JapanThe localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case that both the transmit power and PLE are unknown, have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In this paper, a novel RSS localization method with a closed-form solution based on a two-step weighted least squares estimator is proposed for the case with the unknown transmit power and uncertainty in PLE. Furthermore, the complete performance analysis of the proposed method is given in the paper. Both the theoretical variance and Cramer-Rao lower bound (CRLB) are derived. The relationships between the deterministic CRLB and the proposed stochastic CRLB are presented. The paper also proves that the proposed method can reach the stochastic CRLB.http://www.mdpi.com/1424-8220/16/9/1452sensor localizationcramer-rao lower bound (CRLB)received signal strength (RSS)transmit powerpath loss exponent (PLE)
spellingShingle Jiyan Huang
Peng Liu
Wei Lin
Guan Gui
RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
Sensors
sensor localization
cramer-rao lower bound (CRLB)
received signal strength (RSS)
transmit power
path loss exponent (PLE)
title RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
title_full RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
title_fullStr RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
title_full_unstemmed RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
title_short RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
title_sort rss based method for sensor localization with unknown transmit power and uncertainty in path loss exponent
topic sensor localization
cramer-rao lower bound (CRLB)
received signal strength (RSS)
transmit power
path loss exponent (PLE)
url http://www.mdpi.com/1424-8220/16/9/1452
work_keys_str_mv AT jiyanhuang rssbasedmethodforsensorlocalizationwithunknowntransmitpoweranduncertaintyinpathlossexponent
AT pengliu rssbasedmethodforsensorlocalizationwithunknowntransmitpoweranduncertaintyinpathlossexponent
AT weilin rssbasedmethodforsensorlocalizationwithunknowntransmitpoweranduncertaintyinpathlossexponent
AT guangui rssbasedmethodforsensorlocalizationwithunknowntransmitpoweranduncertaintyinpathlossexponent