Abstract
The target localization algorithm is critical in the field of wireless sensor networks (WSNs) and is widely used in many applications. In the conventional localization method, the location distribution of the anchor nodes is fixed and cannot be adjusted dynamically according to the deployment environment. The resulting localization accuracy is not high, and the localization algorithm is not applicable to three‐dimensional (3D) conditions. Therefore, a Delaunay‐triangulation‐based WSN localization method, which can be adapted to two‐dimensional (2D) and 3D conditions, was proposed. Based on the location of the target node, we searched for the triangle or tetrahedron surrounding the target node and designed the localization algorithm in stages to accurately calculate the coordinate value of the target. The relationship between the number of target nodes and the number of generated graphs was analysed through numerous experiments, and the proposed 2D localization algorithm was verified by extending it the 3D coordinate system. Experimental results revealed that the proposed algorithm can effectively improve the flexibility of the anchor node layout and target localization accuracy.
Highlights
With the rapid development of wireless communication technology and small embedded devices, wireless sensor networks (WSNs) have been used in numerous applications, such as target localization [1], environmental monitoring [2], smart factories [3], and agriculture and field habitat monitoring [4]
The precise location coordinates of the target are critical for target monitors, and the data are analysed in data centres
The Delaunay division method can optimize the layout of 2D nodes, and applies to the network layout of 3D sensor nodes, based on the location coordinates of the nodes
Summary
With the rapid development of wireless communication technology and small embedded devices, WSNs have been used in numerous applications, such as target localization [1], environmental monitoring [2], smart factories [3], and agriculture and field habitat monitoring [4]. Sensor network technology is used to monitor and collect data on specific targets in the area of interest. The precise location coordinates of the target are critical for target monitors, and the data are analysed in data centres. In sensitive areas involving rescue operations, the precise location of the target is first obtained. The location coordinates of the monitored target are unknown. The accuracy of the positioning and comprehensive performance of the algorithm determines the quality of the localization method. When the location information of the target is determined using WSNs, the trajectory of the target can be estimated and drawn by combining related algorithms.
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