Open AccessOptimised hybrid localisation with cooperation in wireless sensor networks
Author(s) -
Khan Muhammad W.,
Salman Naveed,
Kemp Andrew H.
Publication year - 2017
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2015.0390
Subject(s) - angle of arrival , rss , computer science , algorithm , estimator , wireless sensor network , time of arrival , computational complexity theory , least squares function approximation , signal (programming language) , wireless , real time computing , mathematics , telecommunications , computer network , statistics , antenna (radio) , programming language , operating system
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.