Underwater Acoustic Wireless Sensor Networks: Advances and Future Trends in Physical, MAC and Routing Layers

Climent, Salvador; Sanchez, Alberto; Capella, J.V.; Meratnia, Nirvana; Serrano, Juan José

doi:10.3390/s140100795

Cited by 231 publications

(156 citation statements)

References 107 publications

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“…This design involves a direct radio frequency communication connect between two channels sender and receiver that is submerged under water or one channel in water and the other in the air. This technique gives maximum distances compared to an acoustic wave but suffers from the absorption coefficient due to a conductivity of seawater and high attenuation [4,5]. The third and best transmission for underwater communication is to bolster a high data rate, a longer distance and low attenuation using an optical signal.…”

Section: Literature Reviewmentioning

confidence: 99%

Vision and Challenges of Underwater Optical Wireless Communication - A Survey

Alomari¹,

Wafa²,

Rehab³

et al. 2017

IJCA

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Not long ago, the application of marine surveillance systems has been developed by developed the significance of underwater optical wireless communication. Through studies, the communication technology is expected to present a prominent role in its impact on the sea, ocean environment, marine biology in the lake, discovery of natural resources, prediction of natural disasters and climate changes. In this paper, will present a vision and many challenges in the field of Underwater Optical Wireless Communications by moving through the features inherent to these communication technologies, putting into perspective their technical aspects, current research challenges, and to-be-explored potential.

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Section: Literature Reviewmentioning

confidence: 99%

Vision and Challenges of Underwater Optical Wireless Communication - A Survey

Alomari¹,

Wafa²,

Rehab³

et al. 2017

IJCA

View full text Add to dashboard Cite

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“…Recent advances in mobile underwater acoustic sensor networks (MUASNs) have led to various applications, including ocean sampling, environmental monitoring, undersea exploration, disaster prevention, communication/navigation aid, distributed tactical surveillance, and mine reconnaissance [1][2][3][4][5][6]. Nevertheless, there are many challenges in designing MUASNs due to limited bandwidth, time-varying multi-path effects, and long propagation delay [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Asymmetric Propagation Delay-Aware TDMA MAC Protocol for Mobile Underwater Acoustic Sensor Networks

et al. 2018

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Abstract:The propagation delay in mobile underwater acoustic sensor network (MUASN) is asymmetric because of its low sound propagation speed, and this asymmetry grows with the increase in packet travel time, which damages the collision avoidance mechanism of the spatial reuse medium access control (MAC) protocols for MUASN. We propose an asymmetric propagation delay-aware time division multiple access (APD-TDMA) for a MUASN in which periodic data packet transmission is required for a sink node (SN). Collisions at the SN are avoided by deferring data packet transmission after reception of a beacon packet from the SN, and data packets are arrived at the SN in a packet-train manner. The time-offset, which is the time for a node to wait before the transmission of a data packet after reception of a beacon packet, is determined by estimating the propagation delay over two consecutive cycles such that the idle interval at the SN is minimized, and this time-offset is announced by the beacon packet. Simulation results demonstrate that the APD-TDMA improves the channel access delay and the channel utilization by approximately 20% and 30%, respectively, compared with those of the block time bounded TDMA under the given network conditions.

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“…Some scholars have proposed to use AUV to load energy and make supplement to the sensor nodes on a regular basis, although it is feasible, the node energy acquisition process is difficult to control by man-made control and cannot guarantee the sensor node long-term normal work. In addition, the harsh and unpredictable underwater application environment poses a significant challenge to routing tasks [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

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2017

IRATJ

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The communication process in Underwater Acoustic Sensor Networks (UASNs) is susceptible to interference, which leads to higher latency and Bit Error Ratio (BER). The Autonomous Underwater Vehicle (AUV) polling to collect data has been used to provide reliable transmission of data and extend the network lifecycle. The target events underwater are random appeared. In order to effectively capture the target event, an algorithm for the AUV polling to collect data with online prediction is proposed, namely RCAP (Reliable Collection based on AUV with Prediction). Firstly, the polling objects to AUV should be determined. The clustered network structure is established. The cluster head will be polled by the AUV to transfer the data from the cluster. Secondly, the forecast model is build. The first N rounds of data collected are the historical data. Using the historical data, the data of the N+1th round is predicted based on the regression method. Then, the N+1 to 2N rounds of data are used to calibrate the predicted values, and the prediction model is optimized. Finally, the AUV polling trajectory would be plan. All the cluster head have storage threshold. According to the data volume prediction of each cluster head, the AUV polling objects of each round can be determined to maximize the amount of data collection and to improve network efficiency. The simulation results show that the algorithm can adapt to the prediction of target events in a variety of distributions. Especially, when the target events obey the linear distribution, compared with AAEERP, RCAP has a great optimization in network energy consumption, throughput, data transmission efficiency. It increases nearly 10% throughput especially. Keywords: IntroductionThe underwater acoustic sensor networks (UASNs) is a kind of new marine measurement and control technology that combines autonomous data acquisition, data fusion and transmission applications in oceanographic data collection, water pollution monitoring, earthquake and tsunami prediction, marine navigation and underwater military surveillance, enemy target tracking and other aspects of the potential application value. So that the military and scientific research departments attach great importance to it. In recent years, China has proposed the strategic requirements of building a strong marine power, and the key technologies of the underwater acoustic sensor network are listed as the key research directions. The related researches mainly focus on the fields of MAC protocol, routing protocol, clock synchronization location, target recognition tracking and so on. However, the main problem affecting the performance of the underwater acoustic network is that the energy of the underwater nodes is limited and easy to disappear. Although the current research scholars have adopted a variety of routing protocols to minimize node energy consumption, such as the choice of the next hop node, the node between the rotation of the cluster head to balance the energy, the communication between the network nodes...

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Underwater Acoustic Wireless Sensor Networks: Advances and Future Trends in Physical, MAC and Routing Layers

Cited by 231 publications

References 107 publications

Vision and Challenges of Underwater Optical Wireless Communication - A Survey

Vision and Challenges of Underwater Optical Wireless Communication - A Survey

Asymmetric Propagation Delay-Aware TDMA MAC Protocol for Mobile Underwater Acoustic Sensor Networks

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