PROJECT TITLE :
Localization Using Joint Distance and Angle Information for 3D Wireless Sensor Networks
On the matter of wireless sensor network localization, few true three-dimensional (3D) methods have been developed to satisfy the practical desires. In this work we propose a range-based 3D localization algorithm that is correct, anchor-free, scalable and physical position accessible. A unique combination of distance and direction measurement technique is introduced to estimate ranges between neighbors. Based on this info local coordinate systems are created and then converged to form a world network wide coordinate system, that finally results in nodes' absolute positions. Simulation results have shown that our algorithm achieves good tradeoff between localization share and precision when node degree equals 12 or around.
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