Modified MDS-MAP Localization Algorithm with Distance Error Correction in Energy Clustering Wireless Sensor Networks
TIAN Hongliang①② QIAN Zhihong① WANG Yijun③ LIANG Xiao①
①(School of Communication Engineering, Jilin University, Changchun 130012, China) ②(School of Information Engineering, Northeast Dianli University, Jilin 132012, China) ③(School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China)
The classical MDS-MAP algorithm has the disadvantage of large error and the computational complexity increases sharply with the increase of network size in the localization of wireless sensor networks. The clustering method based on the residual energy of the neighbor nodes is designed. The cluster has the proper node degree and cluster size, which reduces the calculation amount and error of the next-step localization algorithm. Then, for the intra-cluster nodes with only connectivity information, the distance between the sink and other single-hop nodes is obtained using the time difference ranging method. A multi-hop distance error correction algorithm is proposed. The distance between nodes in a cluster is obtained using the geometrical relationship of neighboring nodes and the node connectivity. Multi-Dimensional Scaling (MDS) is used to calculate the relative coordinates of nodes in each cluster, and the inter-cluster coordinates are merged and converted into absolute coordinates by the anchor nodes. Finally, the localization of the nodes is realized. The proposed method provides more accurate information of inter-node distance based on energy clustering and multi-hop interval weighted geometric distance correction algorithm. Compared with classical MDS algorithm, this method can further improve the positioning accuracy and reduce the power consumption of wireless sensor network localization.
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