Target Localization in Wireless Sensor Network Using Received Signal Strengths (RSS) and Angle of Arrival (AoA) with Unknown Path Loss Exponent and Unknown Location of Some Sensors

Document Type : Original Article

Authors

1 Master's student, Qom University of Technology, Qom, Iran

2 Associate Professor, Qom University of Technology, Qom, Iran

Abstract

This paper presents an algorithm for localization of targets in a three dimensional space using a Wireless Sensor Network (WSN). The received signal strengths (RSS) and Angle of Arrivals (AoA) are used to estimate the position of targets. The assumed condition in this paper is that the Path Loss Exponent (PLE) is unknown and is different from its actual value. Moreover, we exploit the information from sensors that their positions are not known to enhance the localization accuracy. We use a weighted least squares estimator in an iterative manner to localize the targets and to enhance the algorithm. The estimator is benefitted from the estimation of PLE and the information of sensors with unknown position. Finally, we will see that the use of sensors whose locations are unknown and are considered as redundant information for other algorithms, and also the assumption that the PLE is uncertain, we can use fewer sensors to achieve results similar to the methods using more sensors and with a known path loss exponent.

Keywords


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Volume 10, Issue 2 - Serial Number 28
Number 28, Autumn and Winter Quarterly
January 2023
  • Receive Date: 16 September 2022
  • Revise Date: 08 December 2022
  • Accept Date: 06 January 2023
  • Publish Date: 21 January 2023