{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T12:23:25Z","timestamp":1783513405338,"version":"3.55.0"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004761","name":"Natural Science Foundation of Hainan Province","doi-asserted-by":"publisher","award":["626MS0092"],"award-info":[{"award-number":["626MS0092"]}],"id":[{"id":"10.13039\/501100004761","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004761","name":"Natural Science Foundation of Hainan Province","doi-asserted-by":"publisher","award":["626QN0556"],"award-info":[{"award-number":["626QN0556"]}],"id":[{"id":"10.13039\/501100004761","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62362026"],"award-info":[{"award-number":["62362026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013142","name":"Key Research and Development Project of Hainan Province","doi-asserted-by":"publisher","award":["ZDYF2023GXJS158"],"award-info":[{"award-number":["ZDYF2023GXJS158"]}],"id":[{"id":"10.13039\/501100013142","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Networks"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.comnet.2026.112397","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:26:42Z","timestamp":1779380802000},"page":"112397","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["PIA-GAN: A Physics-Informed Attention generative adversarial network for underwater acoustic channel simulation"],"prefix":"10.1016","volume":"286","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6213-5877","authenticated-orcid":false,"given":"Rongxin","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daoxu","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3851-9938","authenticated-orcid":false,"given":"Azzedine","family":"Boukerche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiuling","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.comnet.2026.112397_b1","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MCOM.2009.4752682","article-title":"Underwater acoustic communication channels: Propagation models and statistical characterization","volume":"47","author":"Stojanovic","year":"2009","journal-title":"IEEE Commun. Mag."},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b2","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1109\/JOE.2013.2278913","article-title":"Propagation and scattering effects in underwater acoustic communication channels","volume":"38","author":"Van Walree","year":"2013","journal-title":"IEEE J. Ocean. Eng."},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b3","doi-asserted-by":"crossref","first-page":"2547","DOI":"10.1109\/COMST.2024.3389728","article-title":"Design guidelines on trust management for underwater wireless sensor networks","volume":"26","author":"Zhu","year":"2024","journal-title":"IEEE Commun. Surv. & Tutorials"},{"issue":"2","key":"10.1016\/j.comnet.2026.112397_b4","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1109\/JOE.2013.2253212","article-title":"Adaptive OFDM modulation for underwater acoustic communications: Design considerations and experimental results","volume":"39","author":"Radosevic","year":"2013","journal-title":"IEEE J. Ocean. Eng."},{"key":"10.1016\/j.comnet.2026.112397_b5","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.phycom.2017.02.007","article-title":"MIMO-OFDM underwater acoustic communication systems\u2014A review","volume":"23","author":"Qiao","year":"2017","journal-title":"Phys. Commun."},{"key":"10.1016\/j.comnet.2026.112397_b6","article-title":"An underwater secure localization scheme based on physical layer cryptographic learning","author":"Fan","year":"2025","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b7","doi-asserted-by":"crossref","first-page":"912","DOI":"10.1109\/JOE.2019.2925921","article-title":"On the reusability of postexperimental field data for underwater acoustic communications R&D","volume":"44","author":"Yang","year":"2019","journal-title":"IEEE J. Ocean. Eng."},{"issue":"2","key":"10.1016\/j.comnet.2026.112397_b8","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1109\/48.486789","article-title":"A simulation tool for high data-rate acoustic communication in a shallow-water, time-varying channel","volume":"21","author":"Bjerrum-Niese","year":"1996","journal-title":"IEEE J. Ocean. Eng."},{"key":"10.1016\/j.comnet.2026.112397_b9","doi-asserted-by":"crossref","first-page":"136151","DOI":"10.1109\/ACCESS.2020.3011620","article-title":"Channel modeling for underwater acoustic network simulation","volume":"8","author":"Morozs","year":"2020","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b10","doi-asserted-by":"crossref","first-page":"3142","DOI":"10.1109\/COMST.2018.2862141","article-title":"A survey of 5G channel measurements and models","volume":"20","author":"Wang","year":"2018","journal-title":"IEEE Commun. Surv. & Tutorials"},{"key":"10.1016\/j.comnet.2026.112397_b11","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1109\/ACCESS.2015.2453991","article-title":"Ray tracing for radio propagation modeling: Principles and applications","volume":"3","author":"Yun","year":"2015","journal-title":"IEEE Access"},{"issue":"01","key":"10.1016\/j.comnet.2026.112397_b12","first-page":"1","article-title":"Energy-aware DRL-based dual-perception fountain codes for resource-constrained UASNs","author":"Zhu","year":"2026","journal-title":"IEEE Trans. Sustain. Comput."},{"issue":"3","key":"10.1016\/j.comnet.2026.112397_b13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3724121","article-title":"An interference-aware and collision-free MAC protocol for underwater wireless sensor networks","volume":"21","author":"Zhu","year":"2025","journal-title":"ACM Trans. Sens. Netw."},{"key":"10.1016\/j.comnet.2026.112397_b14","series-title":"Ocean acoustics library","author":"Porter","year":"2008"},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b15","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1109\/JOE.2023.3292417","article-title":"Data-aided underwater acoustic ray propagation modeling","volume":"48","author":"Li","year":"2023","journal-title":"IEEE J. Ocean. Eng."},{"key":"10.1016\/j.comnet.2026.112397_b16","series-title":"2023 14th International Conference on Information and Communication Technology Convergence","first-page":"906","article-title":"A survey on statistical channel modeling for underwater acoustic communications","author":"Oh","year":"2023"},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b17","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1109\/TCOM.1963.1088793","article-title":"Characterization of randomly time-variant linear channels","volume":"11","author":"Bello","year":"1963","journal-title":"IEEE Trans. Commun. Syst."},{"key":"10.1016\/j.comnet.2026.112397_b18","first-page":"229","article-title":"Limitations of WSSUS modeling of stationary underwater acoustic communication channel","volume":"19","author":"Kocha\u0144ska","year":"2016","journal-title":"Hydroacoustics"},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b19","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1109\/JOE.2013.2253391","article-title":"Ultrawideband underwater acoustic communication channels","volume":"38","author":"Van Walree","year":"2013","journal-title":"IEEE J. Ocean. Eng."},{"issue":"9","key":"10.1016\/j.comnet.2026.112397_b20","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.3390\/jmse13091765","article-title":"Simulation of non-stationary mobile underwater acoustic communication channels based on a multi-scale time-varying multipath model","volume":"13","author":"Yan","year":"2025","journal-title":"J. Mar. Sci. Eng."},{"key":"10.1016\/j.comnet.2026.112397_b21","doi-asserted-by":"crossref","unstructured":"Oluwaseyi Onasami, Damilola Adesina, Lijun Qian, Underwater acoustic communication channel modeling using deep learning, in: Proceedings of the 15th International Conference on Underwater Networks & Systems, 2021, pp. 1\u20138.","DOI":"10.1145\/3491315.3491323"},{"key":"10.1016\/j.comnet.2026.112397_b22","doi-asserted-by":"crossref","first-page":"56550","DOI":"10.1109\/ACCESS.2022.3177728","article-title":"Underwater acoustic communication channel modeling using reservoir computing","volume":"10","author":"Onasami","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.comnet.2026.112397_b23","series-title":"Diffusion-based surrogate model for time-varying underwater acoustic channels","author":"Li","year":"2025"},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b24","doi-asserted-by":"crossref","first-page":"1605","DOI":"10.1109\/JOE.2024.3401779","article-title":"UACC-GAN: A stochastic channel simulator for underwater acoustic communication","volume":"49","author":"Liu","year":"2024","journal-title":"IEEE J. Ocean. Eng."},{"issue":"4","key":"10.1016\/j.comnet.2026.112397_b25","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1109\/JOE.2017.2699078","article-title":"The watermark benchmark for underwater acoustic modulation schemes","volume":"42","author":"van Walree","year":"2017","journal-title":"IEEE J. Ocean. Eng."},{"key":"10.1016\/j.comnet.2026.112397_b26","series-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015"},{"key":"10.1016\/j.comnet.2026.112397_b27","article-title":"Improved training of wasserstein gans","volume":"30","author":"Gulrajani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.comnet.2026.112397_b28","series-title":"2024 IEEE International Conference on Signal Processing, Communications and Computing","first-page":"1","article-title":"Generative model-based underwater acoustic channel modeling with partial oceanic environmental parameters","author":"Miao","year":"2024"},{"issue":"22","key":"10.1016\/j.comnet.2026.112397_b29","doi-asserted-by":"crossref","first-page":"36030","DOI":"10.1109\/JIOT.2024.3417285","article-title":"Augmented intelligence of things for emergency vehicle secure trajectory prediction and task offloading","volume":"11","author":"Wu","year":"2024","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"10.1016\/j.comnet.2026.112397_b30","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1109\/TFUZZ.2024.3369944","article-title":"A novel centralized federated deep fuzzy neural network with multi-objectives neural architecture search for epistatic detection","volume":"33","author":"Wu","year":"2024","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"3","key":"10.1016\/j.comnet.2026.112397_b31","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1109\/TSP.2009.2038424","article-title":"Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing","volume":"58","author":"Berger","year":"2009","journal-title":"IEEE Trans. Signal Process."},{"issue":"9","key":"10.1016\/j.comnet.2026.112397_b32","doi-asserted-by":"crossref","first-page":"9555","DOI":"10.1109\/TVT.2021.3102302","article-title":"On generative-adversarial-network-based underwater acoustic noise modeling","volume":"70","author":"Zhou","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.comnet.2026.112397_b33","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/TLT.2024.3390593","article-title":"A tutorial-generating method for autonomous online learning","volume":"17","author":"Wu","year":"2024","journal-title":"IEEE Trans. Learn. Technol."},{"key":"10.1016\/j.comnet.2026.112397_b34","article-title":"Understanding the effective receptive field in deep convolutional neural networks","volume":"29","author":"Luo","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.comnet.2026.112397_b35","doi-asserted-by":"crossref","unstructured":"Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He, Non-local neural networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 7794\u20137803.","DOI":"10.1109\/CVPR.2018.00813"},{"key":"10.1016\/j.comnet.2026.112397_b36","series-title":"International Conference on Machine Learning","first-page":"7354","article-title":"Self-attention generative adversarial networks","author":"Zhang","year":"2019"},{"issue":"10","key":"10.1016\/j.comnet.2026.112397_b37","doi-asserted-by":"crossref","DOI":"10.23915\/distill.00003","article-title":"Deconvolution and checkerboard artifacts","volume":"1","author":"Odena","year":"2016","journal-title":"Distill"},{"issue":"2","key":"10.1016\/j.comnet.2026.112397_b38","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1121\/1.3278604","article-title":"Deconvolution of sparse underwater acoustic multipath channel with a large time-delay spread","volume":"127","author":"Zeng","year":"2010","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.comnet.2026.112397_b39","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.comnet.2026.112397_b40","series-title":"International Conference on Machine Learning","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"Arjovsky","year":"2017"},{"key":"10.1016\/j.comnet.2026.112397_b41","series-title":"Spectral normalization for generative adversarial networks","author":"Miyato","year":"2018"},{"key":"10.1016\/j.comnet.2026.112397_b42","series-title":"Unrolled generative adversarial networks","author":"Metz","year":"2016"}],"container-title":["Computer Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1389128626004093?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1389128626004093?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T11:59:25Z","timestamp":1783511965000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1389128626004093"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":42,"alternative-id":["S1389128626004093"],"URL":"https:\/\/doi.org\/10.1016\/j.comnet.2026.112397","relation":{},"ISSN":["1389-1286"],"issn-type":[{"value":"1389-1286","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"PIA-GAN: A Physics-Informed Attention generative adversarial network for underwater acoustic channel simulation","name":"articletitle","label":"Article Title"},{"value":"Computer Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.comnet.2026.112397","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112397"}}