3D localization method based on MDS-RSSI in wireless sensor network

In wireless sensor networks, three-dimensional 3D localization is very crucial for the applications of target tracking, environmental monitoring and building inspection system, etc. This paper proposed a multi-dimensional positioning based on the method of multidimensional scaling (MDS) and wireless signal strength indicator value to locate the node, and established the dissimilarity matrix by combining the experience attenuation model of RSSI and the shortest path method, reduced the computation complexity of decomposing dissimilarity matrix by a lightweight matrix decomposition algorithm. Improved MDS-RSSI location algorithm for clustering added the idea of reducing the time complexity of the algorithm to enhance the scalability of the algorithm.