Underwater Sensor Network Applications: A Comprehensive Survey

Felemban, Emad; Shaikh, Faisal Karim; Qureshi, Umair Mujtaba; Sheikh, Adil A.; Qaisar, Saad

doi:10.1155/2015/896832

Cited by 317 publications

(208 citation statements)

References 65 publications

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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%

“…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]. Although these limitations are primarily mitigated by physical layer techniques, it is important to handle the long propagation delay at medium access control (MAC) protocol for high network efficiency.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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“…Hence to overcome these problems acoustic communication, is used [7]. It can overcome these problem and provides a better transfer rate in underwater environment [8]. Using acoustic communication propagation speed lowered down from speed of light to that of sound speed which is 1500m/sec.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Localization Free Routing Protocols in Underwater Wireless Sensor Networks

Khalid¹,

Adnan²,

Ullah³

et al. 2017

ijacsa

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Abstract-Underwater Wireless Sensor Network (UWSN) is newly developed branch of Wireless Sensor network (WSN).UWSN is used for exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance system and unmanned underwater vehicles. UWSN uses sensors of small size with a limited energy, memory and allows limited range for communication. Due to multiple differences from terrestrial sensor network, radio waves cannot be used over here. Acoustic channel are used for communication in deep water, which has many limitations like low bandwidth, high end to end delay and path loss. With the above limitations while using acoustic waves, it is very important to develop energy efficient and reliable protocols. Energy efficient communication in underwater networks has become uttermost need of UWSN technology. The main aim nowadays is to operate sensor with smaller battery for a longer time. This paper will analyse various routing protocols in the area of UWSN through simulation. This paper will analyse Depth Based Routing (DBR), Energy Efficient Depth Based Routing (EEDBR) and Hop by Hop Dynamic Addressing Based (H2-DAB) protocol through simulation. This comparison is carried out on the basis of total consumed energy, end to end delay, path loss and data delivery ratio.

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“…Sensor nodes are spatially distributed in UWSNs with some sensing work to obtain water-related properties such as mass, temperature and pressure data [2]. UWSNs usually arrange many sensor nodes to monitor the underwater environment through the underwater acoustic communication to exchange the node location information and other data.…”

Section: Introductionmentioning

confidence: 99%

Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Luo

Fan

2017

Preprint

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Underwater Sensor Networks (UWSNs) can enable a broad range of applications such as resource monitoring, disaster prevention, and navigation-assisted. It is especially relevant for sensor nodes location in UWSNs. Global Positioning System (GPS) is not suitable for using in UWSNs because of the underwater propagation problems. Hence some localization algorithms based on the precise time synchronization between sensor nodes have been proposed which are not feasible for UWSNs. In this paper, we propose a localization algorithm called Two-Phase Time Synchronization-Free Localization Algorithm (TP-TSFLA). TP-TSFLA contains two phases, namely, range-based estimation phase and range-free evaluation phase. In the first phase, we address a time synchronization-free localization scheme base on the Particle Swarm Optimization (PSO) algorithm to decrease the localization error. In the second phase, we propose a Circle-based Range-Free Localization Algorithm (CRFLA) to locate the unlocalized sensor nodes which cannot obtain the location information through the first phase. In the second phase, sensor nodes which are localized in the first phase act as the new anchor nodes to help realize localization. Hence in this algorithm, we use a small number of mobile beacons to help achieve location without any other anchor nodes. Besides, to improve the precision of the range-free method, an extension of CRFLA by designing a coordinate adjustment scheme is updated. The simulation results show that TP-TSFLA can achieve a relative high localization ratio without time synchronization.

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Underwater Sensor Network Applications: A Comprehensive Survey

Cited by 317 publications

References 65 publications

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

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

Comparison of Localization Free Routing Protocols in Underwater Wireless Sensor Networks

Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

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