Weighted centroid localization based on compressive sensing |
| |
Authors: | Chunhui Zhao Yunlong Xu Hui Huang |
| |
Affiliation: | 1. College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, People’s Republic of China
|
| |
Abstract: | To solve the problem of estimating the locations of sensor nodes in wireless sensor networks where most nodes are without an effective positioning device, a novel range-free localization algorithm—weighted centroid localization based on compressive sensing (WCLCS) is proposed. WCLCS makes use of compressive sensing to get decomposition coefficients between each nonbeacon node and beacon nodes. According to these coefficients, WCLCS algorithm decides the weighted value of each beacon node for Centroid and estimates the locations of nonbeacon nodes. The simulation results show that WCLCS has better localization performance than LSVM. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|