A modified tetrahedron shape measure and its application for 3D trilateration localization in mobile cluster networks |
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| Institution: | 1. Ecole Doctorale en Sciences et Techniques de l''Ingénierie et de l''Innovation Université d''Antananarivo, TASI Laboratory, Madagascar;2. Université Côte d''Azur, CNRS, Sophia Antipolis, I3S Laboratory, France;3. University of Lille-1, CRIStAL Laboratory, France;1. State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China;2. College of Information and Communication Engineering, Hainan University, Haikou 570228, China;1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China;2. College of Computer and Information, Hohai University, Nanjing, 211100, China |
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| Abstract: | In the error analysis of 3D trilateration localization, we constructed a new tetrahedron shape measurement method based on the condition number of the tetrahedron. This method uses algebraic operations, which is simpler than the previous methods based on complex geometric operations, and is also suitable for the shape measurement of triangle. For the trilateration localization problem in 3D space, based on tetrahedron shape measurement (TSM), we designed an algorithm of selecting anchor nodes on the hollow sphere centered at the unknown node. Extensive simulation experiments show that the tetrahedron shape measurement method proposed in this paper is effective. The anchor node selection algorithm based on tetrahedron shape measurement (TSM) can effectively suppress the iterative error problem in trilateration localization. Furthermore, the calculation of the tetrahedron condition number can be used for the deployment of anchor nodes in trilateration localization. |
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| Keywords: | Tetrahedron shape measure Trilateration localization Anchor node deployment |
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