Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Jan, Sadeeq; Yafi, Eiad; Hafeez, Abdul; Khatana, Hamza Waheed; Hussain, Sajid; Akhtar, Rohail; Wadud, Zahid

doi:10.3390/s21093000

Cited by 11 publications

(6 citation statements)

References 46 publications

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“…Meanwhile, the ROBINA outperformed in these scenarios and covered both (water/node movement, frequently charged topology, dynamic and static sinks stations, acute communication, and water current, which is also unpredictable with dense to shallow water) using the rotation-based path and mechanism of inter-node adjustment. When a medium to the large-scale network was eliminated as a text-bed, the amount indicated by our technique was not debatable; [ 34 , 35 , 36 , 37 , 38 , 39 ] is a good example for this understanding.…”

Section: Simulation Parametersmentioning

confidence: 94%

“…Path Loss (PL) is determined only by the distance between communication nodes in Radio Frequency (RF) [ 34 ] between two communication nodes; particularly, the acoustic signal undergoes a frequency ‘offshore for a distance ‘ l ’. From the Urick’s Model enlisted in [ 34 ], the overall PL is denoted by ‘ A ( l,f )’; finally, we have to modify it according to the scenario.

…”

Section: Path Loss Channel Modelmentioning

confidence: 99%

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ROBINA: Rotational Orbit-Based Inter-Node Adjustment for Acoustic Routing Path in the Internet of Underwater Things (IoUTs)

Draz¹,

Yasin

Ali³

et al. 2021

Sensors

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The Internet of Underwater Things (IoUTs) enables various underwater objects be connected to accommodate a wide range of applications, such as oil and mineral exportations, disaster detection, and tracing tracking systems. As about 71% of our earth is covered by water and one-fourth of the population lives around this, the IoUT expects to play a vital role. It is imperative to pursue reliable communication in this vast domain, as human beings’ future depends on water activities and resources. Therefore, there is a urgent need for underwater communication to be reliable, end-to-end secure, and collision/void node-free, especially when the routing path is established between sender and sonobuoys. The foremost issue discussed in this area is its routing path, which has high security and bandwidth without simultaneous multiple reflections. Short communication range is also a problem (because of an absence of inter-node adjustment); the acoustic signals have short ranges and maximum-scaling factors that cause a delay in communication. Therefore, we proposed Rotational Orbit-Based Inter Node Adjustment (ROBINA) with variant Path-Adjustment (PA-ROBINA) and Path Loss (PL-ROBINA) for IoUTs to achive reliable communication between the sender and sonobuoys. Additionally, the mathematical-based path loss model was discussed to cover the PL-ROBINA strategy. Extensive simulations were conducted with various realistic parameters and the results were compared with state-of-the-art routing protocols. Extensive simulations proved that the proposed routing scheme outperformed different realistic parameters; for example, packet transmission 45% increased with an average end-to-end delay of only 0.3% respectively. Furthermore, the transmission loss and path loss (measured in dB) were 25 and 46 dB, respectively, compared with other algorithms, for example, EBER2 54%, WDFAD-BDR 54%, AEDG 49%, ASEGD 55%, AVH-AHH-VBF 54.5%, and TANVEER 39%, respectively. In addition, the individual parameters with ROBINA and TANVEER were also compared, in which ROBINA achieved a 98% packet transmission ratio compared with TANVEER, which was only 82%.

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Section: Simulation Parametersmentioning

confidence: 94%

…”

Section: Path Loss Channel Modelmentioning

confidence: 99%

ROBINA: Rotational Orbit-Based Inter-Node Adjustment for Acoustic Routing Path in the Internet of Underwater Things (IoUTs)

Draz¹,

Yasin

Ali³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Now, let us assume that the coordinates of the anchor nodes are known as (Ap, Aq, and Ar). With this information, we can determine the distance between the unknown nodes and the anchor nodes [ 33 ]. The distance between two locations can be calculated using various distance measurement techniques, such as Euclidean distance or geometric distance.…”

Section: Proposed Network Design and Simulation Settingsmentioning

confidence: 99%

Underwater Wireless Sensor Networks with RSSI-Based Advanced Efficiency-Driven Localization and Unprecedented Accuracy

Sathish,

Chinthaginjala,

Kim

et al. 2023

Sensors

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Deep-sea object localization by underwater acoustic sensor networks is a current research topic in the field of underwater communication and navigation. To find a deep-sea object using underwater wireless sensor networks (UWSNs), the sensors must first detect the signals sent by the object. The sensor readings are then used to approximate the object’s position. A lot of parameters influence localization accuracy, including the number and location of sensors, the quality of received signals, and the algorithm used for localization. To determine position, the angle of arrival (AOA), time difference of arrival (TDoA), and received signal strength indicator (RSSI) are used. The UWSN requires precise and efficient localization algorithms because of the changing underwater environment. Time and position are required for sensor data, especially if the sensor is aware of its surroundings. This study describes a critical localization strategy for accomplishing this goal. Using beacon nodes, arrival distance validates sensor localization. We account for the fact that sensor nodes are not in perfect temporal sync and that sound speed changes based on the medium (water, air, etc.) in this section. Our simulations show that our system can achieve high localization accuracy by accounting for temporal synchronisation, measuring mean localization errors, and forecasting their variation. The suggested system localization has a lower mean estimation error (MEE) while using RSSI. This suggests that measurements based on RSSI provide more precision and accuracy during localization.

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“…In this protocol, authors suppress nodes from data packet reception except the master nodes. We perform extensive simulations and demonstrate that our proposed protocol is delay-tolerant and energy-efficient [ 44 ].…”

Section: Related Workmentioning

confidence: 99%

Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter

2022

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Routing protocols for underwater wireless sensor networks (UWSN) and underwater Internet of Things (IoT_UWSN) networks have expanded significantly. DBR routing protocol is one of the most critical routing protocols in UWSNs. In this routing protocol, the energy consumption of the nodes, the rate of loss of sent packets, and the rate of drop of routing packets due to node shutdown have created significant challenges. For this purpose, in a new scenario called FB-DBR, clustering is performed, and fuzzy logic and bloom filter are used in each cluster’s new routing protocol in underwater wireless sensor networks. Due to the fuzzy nature of the parameters used in DBR, better results are obtained and bloom filters are used in routing tables to compensate for the deceleration. as the average number of accesses to routing table entries, dead nodes, Number of Packets Sent to Base Station (BS), Number of Packets Received at BS, Packet Dropped, and Remaining Energy has improved significantly.

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Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Cited by 11 publications

References 46 publications

ROBINA: Rotational Orbit-Based Inter-Node Adjustment for Acoustic Routing Path in the Internet of Underwater Things (IoUTs)

ROBINA: Rotational Orbit-Based Inter-Node Adjustment for Acoustic Routing Path in the Internet of Underwater Things (IoUTs)

Underwater Wireless Sensor Networks with RSSI-Based Advanced Efficiency-Driven Localization and Unprecedented Accuracy

Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter

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