scholarly journals Topology Control and Opportunistic Routing for Underwater Acoustic Sensor Networks

Author(s):  
Rodolfo Coutinho ◽  
Azzedine Boukerche ◽  
Luiz Vieira ◽  
Antonio Loureiro

Underwater wireless sensor networks (UWSNs) are emerging to enable large-scale ocean monitoring with the goal of reducing the human knowledge gap of underwater environments and the life underneath them. However, several challenges still limit the deployments of UWSNs to small-scale and confined underwater monitoring applications. The goals of this thesis are to investigate and develop cutting-edge models, algorithms and protocols in order to tackle the fundamental data communication challenge in the underwater environment and advance the state-of-the-art towards feasible large-scale deployment of UWSN applications.

2008 ◽  
Vol 17 (06) ◽  
pp. 1203-1208 ◽  
Author(s):  
FEI HU ◽  
PAUL TILGHMAN ◽  
STEVEN MOKEY ◽  
JAMES BYRON ◽  
ANDREW SACKETT

Underwater Wireless Sensor Networks are essentially different from terrestrial RF-based sensor networks due to its highly variable and long acoustic delay. This paper describes our hardware/software co-design of low-cost underwater sensor nodes for deployment in a shallow underwater environment. Each sensor is comprised of a DSP board responsible for modulation/demodulation and sensor readings, as well as an analog board responsible for signal strength amplification and signal conditioning.


2013 ◽  
Vol 347-350 ◽  
pp. 990-994 ◽  
Author(s):  
Ai Guo Gao ◽  
Xiao Lin Luo ◽  
Han Jiang Luo

Wireless sensor networks are envisioned to perform monitoring tasks over the large portion of the world covered by oceans. However, deploying wireless sensor networks on the sea poses many challenges. To deal with the problems, we proposed a hybrid wireless sensor networks deployed on the sea which combines the advantages of wireless sensor networks (WSNs) and Underwater Acoustic Sensor Networks (UWA-SNs ) together. In this paper, we first introduced the structure of the double-head sensor node, and then discussed the applications of the hybrid networks, such as ocean monitoring, test bed and intrusion detection. We also present the analysis of deployment of the hybrid sensor networks.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2252
Author(s):  
Yi Cen ◽  
Mingliu Liu ◽  
Deshi Li ◽  
Kaitao Meng ◽  
Huihui Xu

The communication channel in underwater acoustic sensor networks (UASNs) is time-varying due to the dynamic environmental factors, such as ocean current, wind speed, and temperature profile. Generally, these phenomena occur with a certain regularity, resulting in a similar variation pattern inherited in the communication channels. Based on these observations, the energy efficiency of data transmission can be improved by controlling the modulation method, coding rate, and transmission power according to the channel dynamics. Given the limited computational capacity and energy in underwater nodes, we propose a double-scale adaptive transmission mechanism for the UASNs, where the transmission configuration will be determined by the predicted channel states adaptively. In particular, the historical channel state series will first be decomposed into large-scale and small-scale series and then be predicted by a novel k-nearest neighbor search algorithm with sliding window. Next, an energy-efficient transmission algorithm is designed to solve the problem of long-term modulation and coding optimization. In particular, a quantitative model is constructed to describe the relationship between data transmission and the buffer threshold used in this mechanism, which can then analyze the influence of buffer threshold under different channel states or data arrival rates theoretically. Finally, numerical simulations are conducted to verify the proposed schemes, and results show that they can achieve good performance in terms of channel prediction and energy consumption with moderate buffer length.


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