Application of Spatial Modulation to the Underwater Acoustic Communication Component of Autonomous Underwater Vehicle Networks

2005 ◽  
Author(s):  
Daniel B. Kilfoyle ◽  
Lee Freitag
Keyword(s):  
Acoustic Communication ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Spatial Modulation ◽  
Underwater Acoustic Communication ◽  
Underwater Acoustic ◽  
Vehicle Networks

AUV with Variable Vector Propeller

2000 ◽  
Vol 12 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Yutaka Nagashima ◽  
◽  
Takakazu Ishimatsu ◽  
Jamal Tariq Mian ◽  
Keyword(s):  
Acoustic Communication ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Logic Circuits ◽  
Underwater Acoustic Communication ◽  
Underwater Acoustic ◽  
Distributed Controller ◽  
Communication Reliability ◽  
Command Signals ◽  
And Control

We developed an autonomous underwater vehicle (AUV) with a distributed controller and underwater acoustic communication. It is compact and lightweight thanks to its variable vector propeller and control using sophisticated logic circuits. Control is very precise using underwater ultrasonic command signals. Experiments showed that the AUV moves along a path at the desired position and azimuth. We confirmed the feasibility of our algorithm for increasing ultrasonic communication reliability.

scholarly journals Deep Learning-Based Spread-Spectrum FGSM for Underwater Communication

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6134
Author(s):  
Zeyad A. H. Qasem ◽  
Hamada Esmaiel ◽  
Haixin Sun ◽  
Jie Qi ◽  
Junfeng Wang
Keyword(s):  
Deep Learning ◽  
Computational Complexity ◽  
Acoustic Communication ◽  
Spread Spectrum ◽  
Power Transmission ◽  
Sensor Nodes ◽  
Spatial Modulation ◽  
Underwater Acoustic Communication ◽  
Underwater Acoustic ◽  
Spreading Codes

The limitation of the available channel bandwidth and availability of a sustainable energy source for battery feed sensor nodes are the main challenges in the underwater acoustic communication. Unlike terrestrial’s communication, using multi-input multi-output (MIMO) technologies to overcome the bandwidth limitation problem is highly restricted in underwater acoustic communication by high inter-channel interference (ICI) and the channel multipath effect. Recently, the spatial modulation techniques (SMTs) have been presented as an alternative solution to overcome these issues by transmitting more data bits using the spatial index of antennas transmission. This paper proposes a new scheme of SMT called spread-spectrum fully generalized spatial modulation (SS-FGSM) carrying the information bits not only using the constellated data symbols and index of active antennas as in conventional SMTs, but also transmitting the information bits by using the index of predefined spreading codes. Consequently, most of the information bits are transmitted in the index of the transmitter antenna, and the index of spreading codes. In the proposed scheme, only a few information bits are transmitted physically. By this way, consumed power transmission can be reduced, and we can save the energy of underwater nodes, as well as enhancing the channel utilization. To relax the receiver computational complexity, a low complexity deep learning (DL) detector is proposed for the SS-FGSM scheme as the first attempt in the underwater SMTs-based communication. The simulation results show that the proposed deep learning detector-based SS-FGSM (DLSS-FGSM), compared to the conventional SMTs, can significantly improve the system data rate, average bit error rate, energy efficiency, and receiver’s computational complexity.

scholarly journals Underwater Ad-Hoc Networks: A Review

2021 ◽  
Author(s):  
Emil Wengle ◽  
John Potter ◽  
Hefeng Dong
Keyword(s):  
Acoustic Communication ◽  
Ad Hoc ◽  
Autonomous Underwater Vehicle ◽  
Mobile Network ◽  
Open Architecture ◽  
Underwater Acoustic Communication ◽  
Underwater Sensor Networks ◽  
Medium Access ◽  
Underwater Acoustic ◽  
Underwater Networks

Underwater sensor networks have become increasingly interesting in the past four decades. They can be used in a multitude of scenarios, commercial and military alike. Underwater networks can communicate in several ways, but when nodes are far apart, underwater acoustic communication is the only feasible way. The complex underwater acoustic channel puts high demands on the network protocols. The physical layer needs to contend with short coherence times, high intersymbol interference and significant Doppler spread. The routing protocol needs to handle intermittent connectivity and mobile network topologies, such as autonomous underwater vehicle networks. The medium access control protocol needs to manage medium access with high latency and potentially high packet loss ratios without congesting the network. The available acoustic modems are still rather expensive, which limits the size of a sensor network. Voices have also been raised from the academia for a paradigm shift, from hardware-defined, proprietary modems to software-defined, open-architecture modems, in order to accelerate research in the field and enable interoperability. This paper reviews the recent advancements in designing and implementing underwater networks on several levels and discusses some interesting approaches to underwater ad-hoc networking. The focus lies on acoustic communication.<br>

scholarly journals Task Allocation and Path Planning for Collaborative Autonomous Underwater Vehicles Operating through an Underwater Acoustic Network

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Yueyue Deng ◽  
Pierre-Philippe J. Beaujean ◽  
Edgar An ◽  
Edward Carlson
Keyword(s):  
Path Planning ◽  
Acoustic Communication ◽  
Task Allocation ◽  
Mobile Ad Hoc Network ◽  
Autonomous Underwater Vehicle ◽  
Autonomous Underwater Vehicles ◽  
Task Assignment ◽  
Underwater Acoustic Communication ◽  
Underwater Acoustic ◽  
Network Bandwidth

Dynamic and unstructured multiple cooperative autonomous underwater vehicle (AUV) missions are highly complex operations, and task allocation and path planning are made significantly more challenging under realistic underwater acoustic communication constraints. This paper presents a solution for the task allocation and path planning for multiple AUVs under marginal acoustic communication conditions: a location-aided task allocation framework (LAAF) algorithm for multitarget task assignment and the grid-based multiobjective optimal programming (GMOOP) mathematical model for finding an optimal vehicle command decision given a set of objectives and constraints. Both the LAAF and GMOOP algorithms are well suited in poor acoustic network condition and dynamic environment. Our research is based on an existing mobile ad hoc network underwater acoustic simulator and blind flooding routing protocol. Simulation results demonstrate that the location-aided auction strategy performs significantly better than the well-accepted auction algorithm developed by Bertsekas in terms of task-allocation time and network bandwidth consumption. We also demonstrate that the GMOOP path-planning technique provides an efficient method for executing multiobjective tasks by cooperative agents with limited communication capabilities. This is in contrast to existing multiobjective action selection methods that are limited to networks where constant, reliable communication is assumed to be available.

scholarly journals Underwater Ad-Hoc Networks: A Review

2021 ◽  
Author(s):  
Emil Wengle ◽  
John Potter ◽  
Hefeng Dong
Keyword(s):  
Acoustic Communication ◽  
Ad Hoc ◽  
Autonomous Underwater Vehicle ◽  
Mobile Network ◽  
Open Architecture ◽  
Underwater Acoustic Communication ◽  
Underwater Sensor Networks ◽  
Medium Access ◽  
Underwater Acoustic ◽  
Underwater Networks

Underwater sensor networks have become increasingly interesting in the past four decades. They can be used in a multitude of scenarios, commercial and military alike. Underwater networks can communicate in several ways, but when nodes are far apart, underwater acoustic communication is the only feasible way. The complex underwater acoustic channel puts high demands on the network protocols. The physical layer needs to contend with short coherence times, high intersymbol interference and significant Doppler spread. The routing protocol needs to handle intermittent connectivity and mobile network topologies, such as autonomous underwater vehicle networks. The medium access control protocol needs to manage medium access with high latency and potentially high packet loss ratios without congesting the network. The available acoustic modems are still rather expensive, which limits the size of a sensor network. Voices have also been raised from the academia for a paradigm shift, from hardware-defined, proprietary modems to software-defined, open-architecture modems, in order to accelerate research in the field and enable interoperability. This paper reviews the recent advancements in designing and implementing underwater networks on several levels and discusses some interesting approaches to underwater ad-hoc networking. The focus lies on acoustic communication.<br>

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