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

被引：0

作者：

Li, Daoxin ^{[1
]}

Huang, Jiyan ^{[2
]}

机构：

[1] North Engn Co LTD, Electrificat Bur Grp, CRCC, Taiyuan, Peoples R China

[2] UESTC, Chengdu, Peoples R China

来源：

PROCEEDINGS OF 2016 8TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN 2016) | 2016年

关键词：

sensor localization; Cramer-Rao Lower Bound (CRLB); Received Signal Strength (RSS); transmit power; Path Loss Exponent (PLE); LOCATION ESTIMATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 received signal strength (RSS) localization technique, many RSS based location methods considering the case that both of 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 closed-form solution based on two-step weighted least squares estimator is proposed for the case with the unknown transmit power and uncertainty in PLE. Simulations show that the proposed method has the better performance than the least square method (LS). Moreover, simulation results also prove that the proposed method can reach the Cramer-Rao lower bound (CRLB).

引用

页码：298 / 302

页数：5

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