Marine Environment Information Collection Network Based on Double-Domain Compression Sensing
This paper proposes a dual-domain compression sensing (DCS) data collection scheme. The scheme requires only through some nodes for data collection, and it uses the multi-user detection algorithm based on spatial sparse compressive sensing to perform node active state and data detection at the receiver, and then uses the sparsity of the frequency domain for information recovery, thereby further saving the control overhead of the sink node’s downstream sending address frame. Through the comparison of simulation experiments, it is found that the scheme proposed in this paper is better than the previous IDMA multiple access detection schemes in terms of bandwidth while guaranteeing the reconstruction performance of the marine environment monitoring network.
KeywordsCompressed sensing Underwater wireless sensor network Multi-user detection Multiple access
This work is supported in part by National Natural Science Foundation of China (No. 61401118, and No. 61671184), Natural Science Foundation of Shandong Province (No. ZR2018PF001 and No. ZR2014FP016), the Fundamental Research Funds for the Central Universities (No. HIT.NSRIF.201720 and HIT.NSRIF.2016100) and the Scientific Research Foundation of Harbin Institute of Technology at Weihai (No. HIT(WH)201409 and No. HIT(WH)201410).
- 1.Chen YS, Lin YW. Mobicast routing protocol for underwater sensor networks. J Sens. 2013;13(2):2737–49.Google Scholar
- 2.Liu G, Kang W. Underwater sparse sensor network information acquisition technology based on compressed sensing. J Instrum Instrum. 2014;3(2):253–60.Google Scholar
- 6.Li B, Du R, Kang W, Liu G. Multi-user detection for sporadic IDMA transmission based on compressed sensing. Entropy, 2017.Google Scholar
- 7.Wang B, Dai L, Mir T, et al. Joint user activity and data detection based on structured compressive sensing for NOMA. IEEE Commun Lett. 2016;20(7):1473–6.Google Scholar