2014/01/07 by Jiping Xiong, Xiong, Jiping, Qinghua Tang +3
Engineering · #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Microwave Imaging and Scattering Analysis #Networking and Internet Architecture (cs.NI) #Sparse and Compressive Sensing Techniques
paper · pdf · doi:10.48550/arxiv.1401.1307
openalex publication_date 2014/01/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Compressive sensing (CS) has been widely used for the data gathering in wireless sensor networks for the purpose of reducing the communication overhead recent years. In this paper, we first show that with simple modification, 1-bit compressive sensing can also been used for the data gathering in wireless sensor networks to further reduce the communication overhead. We also propose a novel blind 1-bit CS reconstruction algorithm which outperforms other state of the art blind 1-bit CS reconstruction algorithms. Experimental results on real sensor datasets demonstrate the efficiency of our method.