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Proceedings of the 15th International Conference on Underwater Networks & Systems最新文献

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An Acoustic Transmitter with Intelligent ON/OFF Mechanisms and Quasi-location Awareness 一种具有智能开/关机制和准位置感知的声发射机
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491358
Z. Deng, Jun Lu, Huidong Li, Jayson J. Martinez
{"title":"An Acoustic Transmitter with Intelligent ON/OFF Mechanisms and Quasi-location Awareness","authors":"Z. Deng, Jun Lu, Huidong Li, Jayson J. Martinez","doi":"10.1145/3491315.3491358","DOIUrl":"https://doi.org/10.1145/3491315.3491358","url":null,"abstract":"We successfully demonstrated an acoustic transmitter with intelligent ON/OFF mechanisms and quasi-location awareness. The prototype transmitter has (1) the ability (radio frequency-enabled ON/OFF) to turn the tag on and off when it passes through a passive integrated transponder antenna and (2) the ability to detect significant salinity changes (i.e., from freshwater to sea water and vice versa) and turn itself off and on, respectively. Such a device would greatly enhance the capabilities of the acoustic telemetry-based fish tracking systems.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aqua-Psim: A Semi-Physical Simulation Platform Based on NS3 for Underwater Acoustic Network 基于NS3的水声网络半物理仿真平台Aqua-Psim
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491337
Jiani Guo, Jun Liu, Shanshan Song, Chuang Zhang, Haoyao Chen, Jun-hong Cui
{"title":"Aqua-Psim: A Semi-Physical Simulation Platform Based on NS3 for Underwater Acoustic Network","authors":"Jiani Guo, Jun Liu, Shanshan Song, Chuang Zhang, Haoyao Chen, Jun-hong Cui","doi":"10.1145/3491315.3491337","DOIUrl":"https://doi.org/10.1145/3491315.3491337","url":null,"abstract":"As common tools to validate underwater acoustic network protocols, simulation platforms are challenged by constructing near-real channel model and communication nodes. In this paper, we design a semi-physical simulation platform based on NS3, called Aqua-Psim, to narrow gaps between simulation and sea trial. It combines real modems and software for higher simulation accuracy and network configuration flexibility. Moreover, Bellhop ray-tracing program is employed to provide more authentic propagation process of underwater acoustic signal. In addition, we extend some service functions: data processing, time synchronization and localization for more facilitative user development. Simulation results show that Aqua-Psim is a promising simulator for underwater acoustic networks.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"38 42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125704252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Enhanced Underwater Acoustic Communication via Active Field Control 通过有源场控制增强水声通信
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491367
Chaoxian Qi, Chenpei Huang, N. J. A. Egarguin, D. Onofrei, Miao Pan, Jiefu Chen
{"title":"Enhanced Underwater Acoustic Communication via Active Field Control","authors":"Chaoxian Qi, Chenpei Huang, N. J. A. Egarguin, D. Onofrei, Miao Pan, Jiefu Chen","doi":"10.1145/3491315.3491367","DOIUrl":"https://doi.org/10.1145/3491315.3491367","url":null,"abstract":"In this paper, an active source control scheme for manipulation of the acoustic field in ocean environment is presented. This active field control is formulated as an inverse source problem, where the target is to maximize the radiated power in several far directions while keeping a low radiated power in one or more other far field regions. Hence, the controlled source enables acoustic beamforming, i.e., enhancing the acoustic wave-based underwater wireless communication. Numerical simulations are performed to demonstrate the good performance of the proposed method.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133625355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of the Factors Affecting the Communication Between AUV and Acoustic Modem: From the Perspective of Experiments 影响水下航行器与声学调制解调器通信的因素分析:从实验的角度
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491340
Jingzhi Guo, Jun Liu, Mengzhuo Liu, Tong Zhang, Tingting Yang, Jun-hong Cui
{"title":"Analysis of the Factors Affecting the Communication Between AUV and Acoustic Modem: From the Perspective of Experiments","authors":"Jingzhi Guo, Jun Liu, Mengzhuo Liu, Tong Zhang, Tingting Yang, Jun-hong Cui","doi":"10.1145/3491315.3491340","DOIUrl":"https://doi.org/10.1145/3491315.3491340","url":null,"abstract":"Underwater sensor networks (UWSNs) could be more scalable with the help of autonomous underwater vehicles (AUVs) by their self-control ability. However, continuous and reliable mobile acoustic communication is the bottleneck that limits the development of AUV-aided UWSNs. This paper analyzes three typical factors that impact the AUV communications based on the lake and sea test data, i.e., the doppler effect, signal strength weakening, and multipath interference. Meanwhile, we propose improvements for AUV and acoustic modem, respectively, in terms of AUV autonomous control and intelligent technology and underwater acoustic communication technology to improve mobile acoustic communication reliability.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122692064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Low Complexity Aggregation Method for Underwater On-Pipe Sensor Network 水下管道传感器网络的低复杂度聚合方法
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491343
Chenpei Huang, Chaoxian Qi, A. Song, Gangbing Song, Jiefu Chen, Miao Pan
{"title":"A Low Complexity Aggregation Method for Underwater On-Pipe Sensor Network","authors":"Chenpei Huang, Chaoxian Qi, A. Song, Gangbing Song, Jiefu Chen, Miao Pan","doi":"10.1145/3491315.3491343","DOIUrl":"https://doi.org/10.1145/3491315.3491343","url":null,"abstract":"This paper considers the sensor aggregation for underwater pipe-assisted stress wave communication (SWC). Although the SWC is able to support the on-pipe sensor network in short range, the spectrum of long-range SWC is limited due to the effect of reflections at the pipe joints. To address this issue, the orthogonal frequency-division multiplexing (OFDM)-based consensus data aggregation is proposed. Furthermore, the consensus data can be received via time-domain sampling after ’compute-during-transmit’ in multiple access channels (MAC). The simulation results show 0.26%, 0.03%, and 0.08% mean-square-error (MSE) in 5, 10, and 20 sensor aggregation respectively with 5 dB average SNR. A vanishing mean-square-error (MSE) can be observed when increasing either the signal-to-noise ratio (SNR) or the number of sensors. This design can obtain the aggregated data by a simple time domain sampling with no need of down-conversion and demodulation.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114619516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
OpenWaters: Photorealistic Simulations For Underwater Computer Vision 开放水域:水下计算机视觉的逼真模拟
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491336
Mehdi Mousavi, Shardul Vaidya, Razat Sutradhar, A. Ashok
{"title":"OpenWaters: Photorealistic Simulations For Underwater Computer Vision","authors":"Mehdi Mousavi, Shardul Vaidya, Razat Sutradhar, A. Ashok","doi":"10.1145/3491315.3491336","DOIUrl":"https://doi.org/10.1145/3491315.3491336","url":null,"abstract":"In this paper, we present OpenWaters, a real-time open-source underwater simulation kit for generating photorealistic underwater scenes. OpenWaters supports creation of massive amount of underwater images by emulating diverse real-world conditions. It allows for fine controls over every variable in a simulation instance, including geometry, rendering parameters like ray-traced water caustics, scattering, and ground-truth labels. Using underwater depth (distance between camera and object) estimation as the use-case, we showcase and validate the capabilities of OpenWaters to model underwater scenes that are used to train a deep neural network for depth estimation. Our experimental evaluation demonstrates depth estimation using synthetic underwater images with high accuracy, and feasibility of transfer-learning of features from synthetic to real-world images.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124837332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Field Experiment and Analysis of Underwater String Networks Based on PMAC 基于PMAC的水下管柱网络现场实验与分析
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491321
Guolin Wang, Mengzhuo Liu, Xiaohe Pan, Yu Gou, Tingting Yang, Jun-hong Cui
{"title":"Field Experiment and Analysis of Underwater String Networks Based on PMAC","authors":"Guolin Wang, Mengzhuo Liu, Xiaohe Pan, Yu Gou, Tingting Yang, Jun-hong Cui","doi":"10.1145/3491315.3491321","DOIUrl":"https://doi.org/10.1145/3491315.3491321","url":null,"abstract":"Underwater Wireless Sensor Networks (UWSNs) have attracted widespread attention from academia and industry over several years, and several network architectures and protocols have been proposed. Due to the limited test resource and harsh underwater communication environments, it is very challenging for current simulators to analyze network performance under different protocols, when compared to field tests. This paper presents field experiments performed in Fuxian Lake, Daya Bay and the Yellow Sea, respectively, to evaluate the achievable network performance. In the above tests, the underwater nodes were deployed as string topologies and accessed to the acoustic channel by Pipelining MAC (PMAC). Nodes deployed three hops away were allowed to transmit simultaneously, by eliminating chances of collisions and parallelizing transmissions. These experiments verify the effectiveness of our deployment schedules in terms of network performance. Furthermore, we discuss the applications of underwater string networks in oceanographical data collection as well as in medium and long-distance control.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123311471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Machine Learning Label-Free Method for Underwater Acoustic OFDM Channel Estimations 一种水声OFDM信道估计的机器学习无标签方法
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491326
Yonglin Zhang, Haibin Wang, Yupeng Tai, Chao Li, Fabrice Mériaudeau
{"title":"A Machine Learning Label-Free Method for Underwater Acoustic OFDM Channel Estimations","authors":"Yonglin Zhang, Haibin Wang, Yupeng Tai, Chao Li, Fabrice Mériaudeau","doi":"10.1145/3491315.3491326","DOIUrl":"https://doi.org/10.1145/3491315.3491326","url":null,"abstract":"In this paper, a machine learning label-free scheme is proposed for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) channel estimation, which avoids the necessity of the real UWA channel label as in the traditional training process. To this end, a label-free loss function is developed, based on which the training process requires only the received pilot symbols without true channel information. The experiments indicate that, with sufficient training, the proposed label-free network can perform a near-optimal channel estimation.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120955609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Deep-sea sound-speed profile estimation using two towed temperature-depth sensors 利用两个拖曳式温度深度传感器估算深海声速剖面
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491341
Zhen Wang, Wenbo Wang, Tao Hu, Lin Su, Qunyan Ren, Li Ma
{"title":"Deep-sea sound-speed profile estimation using two towed temperature-depth sensors","authors":"Zhen Wang, Wenbo Wang, Tao Hu, Lin Su, Qunyan Ren, Li Ma","doi":"10.1145/3491315.3491341","DOIUrl":"https://doi.org/10.1145/3491315.3491341","url":null,"abstract":"Non-uniform distribution of sound-speed profile (SSP) significantly impacts deep-sea sound propagation. A simple and efficient method is proposed for estimating spatial non-uniform SSP using empirical orthogonal function and towed temperature-depth sensors (TDs). Processing results of a deep-sea experiment show that this method requires only 2 towed TDs, and the root-mean-square error (RMSE) of reconstructed SSP is 1.0377 m/s. Results of the sound-field simulation using different SSPs show the necessity of considering non-uniform distribution of SSP, and the RMSE of transmission loss calculated using the reconstructed SSP is less than 2 dB when source depth is 50–350 m.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"74 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132086547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Requirement Learning and Matching MAC Protocol for Underwater Acoustic Sensor Networks 水声传感器网络的需求学习与MAC协议匹配
Proceedings of the 15th International Conference on Underwater Networks & Systems Pub Date : 2021-11-22 DOI: 10.1145/3491315.3491351
Y. Cen, Mingliu Liu, Deshi Li
{"title":"Requirement Learning and Matching MAC Protocol for Underwater Acoustic Sensor Networks","authors":"Y. Cen, Mingliu Liu, Deshi Li","doi":"10.1145/3491315.3491351","DOIUrl":"https://doi.org/10.1145/3491315.3491351","url":null,"abstract":"","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"14 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113943785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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