Akademik Veri Yönetim Sistemi
2024 Innovations in Intelligent Systems and Applications Conference (ASYU), Ankara, Türkiye, 16 - 18 Ekim 2024, ss.1-6
Accurate 3D localization in wireless sensor networks (WSNs) is crucial
for many outdoor applications, particularly in urban or mountainous
areas where GPS signals may be inadequate. This study focuses on using a
single mobile anchor node with different movement patterns to
investigate the improvement of 3D localization accuracy. Simulation
studies were done considering the IEEE 802.15.4 standard, and a
log-normal shadowing model was used to simulate real-world signal
propagation conditions. The performance of four movement patterns
(spiral, circular, rectangular, and random) was evaluated using
Cramer-Rao Lower Bound (CRLB) analysis and simulations with varying
noise levels. The results showed that spiral movement consistently
outperformed other patterns, achieving the lowest mean error and
smallest standard deviation under low-noise conditions. Additionally, in
high-noise scenarios, the spiral movement produced the lowest mean and
the lowest maximum error values. The findings suggest that spiral
movement is a promising strategy for improving 3D WSN localization
accuracy, especially in challenging environments.