東華大學圖書館 |

Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction./
作者:	Rahmati, Mehdi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	191 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
標題:	Electrical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28024120
ISBN:	9798569913664

Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction.
Rahmati, Mehdi.

Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 191 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Thesis (Ph.D.)--Rutgers The State University of New Jersey, School of Graduate Studies, 2020.

This item must not be sold to any third party vendors.

In the past decade, underwater communications have enabled a wide range of applications; there are, however, novel applications and systems, such as coastal multimedia surveillance, oil pipe/bridge inspection, water-quality/marine-pollution monitoring, video monitoring of geological/biological processes from seafloor to air-sea interface, and Underwater Internet of Things (UW IoT), that require near-real-time multimedia acquisition, classification, and transmission.Wireless acoustics is the typical physical-layer communication technology for underwater data transmission for distances above a hundred meters; transmitting videos wirelessly underwater using acoustic waves, however, is a very challenging task as the underwater acoustic channel suffers from time-varying attenuation and fading, limited bandwidth, Doppler spreading, high propagation delay, and high bit error rate. For these reasons, state-of-the-art acoustic communication solutions are still mostly focusing on enabling delay-tolerant, low-bandwidth/low-data-rate scalar data transmission or at best low-quality/low-resolution multimedia streaming in the order of few tens of kbps.On the other hand, while conventional underwater acoustic modems with their fixed-hardware designs hardly meet the data rate and flexibility needed to support video requirements for futuristic multimedia and UW IoT-driven applications, novel algorithms and protocols can be implemented on reconfigurable software-defined architectures so as to perform in-network analysis and/or to transmit a high volume of data to a remote node depending on the environment and system specifications.For these reasons, the objectives of this research, which led to this doctoral dissertation, were to propose solutions to overcome the limitations of existing acoustic communication techniques and to support robust, reliable, and high-data-rate underwater multimedia transmission. In particular, these objectives were achieved by:- Developing a new physical-layer solution based on multiple-antenna arrays and Acoustic Vector Sensors (AVSs) and by proposing an underwater acoustic Non-Contiguous Orthogonal Frequency Division Multiplexing (NC-OFDM) technique, called Signal-Space-Frequency Beamforming (SSFB), to boost the data rate for underwater acoustic transmission so as to transfer high-resolution videos.- Designing a probabilistic Medium Access Control (MAC) solution by introducing a novel underwater Space Division Multiple Access (SDMA) method to share reliably the space among the steered vehicles so as to reduce the acoustic interference in underwater sparse networks.- Improving the reliability and the quality of multimedia delivery by designing a reliable closed-loop hybrid Automatic Repeat Request (ARQ) coding specifically designed for the harsh underwater environment, and by introducing an efficient and agile collaborative coding strategy to allocate appropriate resources to the communication links based on their status.- Enhancing the video quality via a cross-layer design for underwater scalable coded videos that are channel compatible, and leveraging the multiplexing-diversity tradeoff in a Multiple Input Multiple Output (MIMO) structure to adjust the video scalability by trading off in real time transmission data rate and reliability according to the user Quality of Service (QoS).- Presenting a protocol for underwater in-network imagery analysis and monitoring the accumulation of litter and plastic debris at the seafloor using partial information collected by various vehicles around the scene, and using Scalable Video Coded (SVC) multicasting for underwater real-time map reconstruction.- Proposing a correlation-aware hybrid ARQ technique that leverages the redundancy in the data arising from spatial and temporal correlations of the measured phenomenon; this novel technique can be used in futuristic UW IoT applications with high-density deployed nodes in shallow water.

ISBN: 9798569913664Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Underwater communications

Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction.
LDR:05228nmm a2200373 4500 001 2281711
005 20210920103348.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798569913664
035 $a (MiAaPQ)AAI28024120
035 $a AAI28024120
040 $a MiAaPQ $c MiAaPQ
100 1 $a Rahmati, Mehdi. $3 3560420
245 1 0 $a Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 191 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
500 $a Advisor: Pompili, Dario.
502 $a Thesis (Ph.D.)--Rutgers The State University of New Jersey, School of Graduate Studies, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a In the past decade, underwater communications have enabled a wide range of applications; there are, however, novel applications and systems, such as coastal multimedia surveillance, oil pipe/bridge inspection, water-quality/marine-pollution monitoring, video monitoring of geological/biological processes from seafloor to air-sea interface, and Underwater Internet of Things (UW IoT), that require near-real-time multimedia acquisition, classification, and transmission.Wireless acoustics is the typical physical-layer communication technology for underwater data transmission for distances above a hundred meters; transmitting videos wirelessly underwater using acoustic waves, however, is a very challenging task as the underwater acoustic channel suffers from time-varying attenuation and fading, limited bandwidth, Doppler spreading, high propagation delay, and high bit error rate. For these reasons, state-of-the-art acoustic communication solutions are still mostly focusing on enabling delay-tolerant, low-bandwidth/low-data-rate scalar data transmission or at best low-quality/low-resolution multimedia streaming in the order of few tens of kbps.On the other hand, while conventional underwater acoustic modems with their fixed-hardware designs hardly meet the data rate and flexibility needed to support video requirements for futuristic multimedia and UW IoT-driven applications, novel algorithms and protocols can be implemented on reconfigurable software-defined architectures so as to perform in-network analysis and/or to transmit a high volume of data to a remote node depending on the environment and system specifications.For these reasons, the objectives of this research, which led to this doctoral dissertation, were to propose solutions to overcome the limitations of existing acoustic communication techniques and to support robust, reliable, and high-data-rate underwater multimedia transmission. In particular, these objectives were achieved by:- Developing a new physical-layer solution based on multiple-antenna arrays and Acoustic Vector Sensors (AVSs) and by proposing an underwater acoustic Non-Contiguous Orthogonal Frequency Division Multiplexing (NC-OFDM) technique, called Signal-Space-Frequency Beamforming (SSFB), to boost the data rate for underwater acoustic transmission so as to transfer high-resolution videos.- Designing a probabilistic Medium Access Control (MAC) solution by introducing a novel underwater Space Division Multiple Access (SDMA) method to share reliably the space among the steered vehicles so as to reduce the acoustic interference in underwater sparse networks.- Improving the reliability and the quality of multimedia delivery by designing a reliable closed-loop hybrid Automatic Repeat Request (ARQ) coding specifically designed for the harsh underwater environment, and by introducing an efficient and agile collaborative coding strategy to allocate appropriate resources to the communication links based on their status.- Enhancing the video quality via a cross-layer design for underwater scalable coded videos that are channel compatible, and leveraging the multiplexing-diversity tradeoff in a Multiple Input Multiple Output (MIMO) structure to adjust the video scalability by trading off in real time transmission data rate and reliability according to the user Quality of Service (QoS).- Presenting a protocol for underwater in-network imagery analysis and monitoring the accumulation of litter and plastic debris at the seafloor using partial information collected by various vehicles around the scene, and using Scalable Video Coded (SVC) multicasting for underwater real-time map reconstruction.- Proposing a correlation-aware hybrid ARQ technique that leverages the redundancy in the data arising from spatial and temporal correlations of the measured phenomenon; this novel technique can be used in futuristic UW IoT applications with high-density deployed nodes in shallow water.
590 $a School code: 0190.
650 4 $a Electrical engineering. $3 649834
650 4 $a Acoustics. $3 879105
650 4 $a Robotics. $3 519753
653 $a Underwater communications
653 $a Underwater acoustic channel
653 $a Acoustic interference
653 $a Transmission data rate
653 $a Scalable Video Coded multicasting
690 $a 0544
690 $a 0986
690 $a 0771
710 2 $a Rutgers The State University of New Jersey, School of Graduate Studies. $b Electrical and Computer Engineering. $3 3429082
773 0 $t Dissertations Abstracts International $g 82-08B.
790 $a 0190
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28024120