title: A reconstruction method based on AL0FGD for compressed sensing in border monitoring WSN system.
abstract: In this paper, to monitor the border in real-time with high efficiency and accuracy, we applied the compressed sensing (CS) technology on the border monitoring wireless sensor network (WSN) system and proposed a reconstruction method based on approximately l0 norm and fast gradient descent (AL0FGD) for CS. In the frontend of the system, the measurement matrix was used to sense the border information in a compressed manner, and then the proposed reconstruction method was applied to recover the border information at the monitoring terminal. To evaluate the performance of the proposed method, the helicopter sound signal was used as an example in the experimental simulation, and three other typical reconstruction algorithms 1)split Bregman algorithm, 2)iterative shrinkage algorithm, and 3)smoothed approximate l0 norm (SL0), were employed for comparison. The experimental results showed that the proposed method has a better performance in recovering the helicopter sound signal in most cases, which could be used as a basis for further study of the border monitoring WSN system.
authors.affiliation: College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China; Department of Computer Science, Chengdu University of Information Technology, Chengdu, Sichuan, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Computer Science, Chengdu University of Information Technology, Chengdu, Sichuan, China; College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
authors.forename: Xi
authors.initials: X
authors.lastname: Wu
authors.affiliation: College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China; Department of Computer Science, Chengdu University of Information Technology, Chengdu, Sichuan, China.
authors.forename: Wenzao
authors.initials: W
authors.lastname: Li
authors.affiliation: College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Li
authors.affiliation: College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
authors.forename: Jiliu
authors.initials: J
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D004641:Emigration and Immigration; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020407:Internet; D017215:Satellite Communications; D059015:Wireless Technology