Sensor Localization using Signal Receiving Probability and Procrustes Analysis

Ashanie Gunathillake, Andrey V. Savkin, Anura Jayasumana, Aruna Seneviratne

Abstract

The location information of sensors is of great importance for wireless sensor network automation and has been one of the major challenges in large-scale sensor networks. In order to improve the localization accuracy of sensors, the gain of both range-free and range-based approaches need to be concerned. In this paper, we propose a new localization algorithm based on signal receiving probability and Procrustes analysis. A critical observation in range-free technique is sensors can move a non-zero distance without changing it’s connectivity information. To defeat that difficulty and achieve a better ranging measurement, a receiving probability function, which is sensitive to the distance, is used in this paper. The probability function is used to calculate the topological coordinates and then to transform it to physical coordinates, the Procrustes analysis is used. The result shows that our proposed algorithm has been able to calculate the physical coordinates of sensors, which are distributed over an area, consist of obstacles and with different environmental conditions. Moreover, it outperformed the other existing algorithms by a maximum localization error less then 2m.

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Paper Citation


in Harvard Style

Gunathillake A., V. Savkin A., Jayasumana A. and Seneviratne A. (2016). Sensor Localization using Signal Receiving Probability and Procrustes Analysis . In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 113-120. DOI: 10.5220/0005671301130120


in Bibtex Style

@conference{sensornets16,
author={Ashanie Gunathillake and Andrey V. Savkin and Anura Jayasumana and Aruna Seneviratne},
title={Sensor Localization using Signal Receiving Probability and Procrustes Analysis},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},
year={2016},
pages={113-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005671301130120},
isbn={978-989-758-169-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - Sensor Localization using Signal Receiving Probability and Procrustes Analysis
SN - 978-989-758-169-4
AU - Gunathillake A.
AU - V. Savkin A.
AU - Jayasumana A.
AU - Seneviratne A.
PY - 2016
SP - 113
EP - 120
DO - 10.5220/0005671301130120