Optimised hybrid localisation with cooperation in wireless sensor networks. Issue 3 (1st May 2017)

• Record Type: Journal Article
• Authors: Khan, Muhammad W.; Salman, Naveed; Kemp, Andrew H.
• Is Part Of: IET signal processing. Volume 11:Issue 3(2017)
• Page Start: 341
• Page End: 348
• Publication Date: 2017-05-01
• Subjects: wireless sensor networks -- iterative methods -- least squares approximations; wireless sensor networks -- novel hybrid cooperative localisation scheme -- linear least squares hybrid cooperative schemes -- target sensors -- LLS estimator -- computational complexity analysis -- hybrid signal based iterative nonlinear least squares algorithms; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/iet-spr.2015.0390
• Languages: English
• ISSNs: 1751-9675

Abstract

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.