Optimised hybrid localisation with cooperation in wireless sensor networks

Khan, Muhammad Waqas, Salman, Naveed and Kemp, Andrew H. (2017) Optimised hybrid localisation with cooperation in wireless sensor networks. IET Signal Processing, 11 (3). pp. 341-348. ISSN 1751-9675

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Official URL: https://doi.org/10.1049/iet-spr.2015.0390

Abstract

In this study, the authors introduce a novel hybrid cooperative localisation scheme when both distance and angle measurements are available. Two linear least squares (LLS) hybrid cooperative schemes based on angle of arrival-time of arrival (AoA-ToA) and AoA-received signal strength (AoA-RSS) signals are proposed. The proposed algorithms are modified to accommodate cooperative localisation in resource constrained networks where only distance measurements are available between target sensors (TSs) while both distance and angle measurements are available between reference sensors and TSs. Furthermore, an optimised version of the LLS estimator is proposed to further enhance the localisation performance. Moreover, localisation of sensor nodes in networks with limited connectivity (partially connected networks) is also investigated. Finally, computational complexity analysis of the proposed algorithms is presented. Through simulation, the superior performance of the proposed algorithms over its non-cooperative counterpart and the hybrid signal based iterative non-linear least squares algorithms is demonstrated.

Item Type: Article
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 14 May 2020 14:19
Last Modified: 14 May 2020 14:19
URI: http://nrl.northumbria.ac.uk/id/eprint/43140

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