Low-cost communication system for explorer-class underwater remotely operated vehicle

Siregar, Simon; Sani, Muhammad Ikhsan; Kurnia, Muhammad Muchlis; Hasbialloh, Dzikri

doi:10.12928/telkomnika.v17i2.11791

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…In [17,[87][88][89][90][91][92][93][94][95][96][97][98][99][100][101], the existing techniques for solving the high-cost issues in UIoT are discussed, and some methods are indicated herewith. In [89], Bridget Benson et al designed a low-cost acoustic modem to reduce underwater acoustic sensor network cost and power consumption.…”

Section: Low-cost Communication Methodsmentioning

confidence: 99%

A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things

Kim

et al. 2021

Sensors

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Owing to the hasty growth of communication technologies in the Underwater Internet of Things (UIoT), many researchers and industries focus on enhancing the existing technologies of UIoT systems for developing numerous applications such as oceanography, diver networks monitoring, deep-sea exploration and early warning systems. In a constrained UIoT environment, communication media such as acoustic, infrared (IR), visible light, radiofrequency (RF) and magnet induction (MI) are generally used to transmit information via digitally linked underwater devices. However, each medium has its technical limitations: for example, the acoustic medium has challenges such as narrow-channel bandwidth, low data rate, high cost, etc., and optical medium has challenges such as high absorption, scattering, long-distance data transmission, etc. Moreover, the malicious node can steal the underwater data by employing blackhole attacks, routing attacks, Sybil attacks, etc. Furthermore, due to heavyweight, the existing privacy and security mechanism of the terrestrial internet of things (IoT) cannot be applied directly to UIoT environment. Hence, this paper aims to provide a systematic review of recent trends, applications, communication technologies, challenges, security threats and privacy issues of UIoT system. Additionally, this paper highlights the methods of preventing the technical challenges and security attacks of the UIoT environment. Finally, this systematic review contributes much to the profit of researchers to analyze and improve the performance of services in UIoT applications.

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Section: Low-cost Communication Methodsmentioning

confidence: 99%

A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things

Kim

et al. 2021

Sensors

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“…Autonomous underwater vehicle (AUV) considered one of the several studies that have discussed during the last decades due to its purposes and applications in different fields such as militaries, exploring the ocean submarines, oil and gas fields. In the literature, numerous controllers are presented for control the AUV the authors suggested different techniques to solve or handle the AUV problems like [1][2][3][4][5]. During the movement of AUV towards the vertical location, the sensors used in the AUV control model can add a considerable amount of noise which leads to change the tolerance and stability of the system as a result of that movement of AUV become unsettled.…”

Section: Introductionmentioning

confidence: 99%

Controller design for underwater robotic vehicle based on improved whale optimization algorithm

Hasan

Abbas

2021

Bulletin EEI

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This paper presents the impact of introducing a two-controller on the linearized autonomous underwater vehicle (AUV) for vertical motion control. These controllers are presented to overcome the sensor noise of the AUV control model that effect on the tolerance and stability of the depth motion control. Linear quadratic Gaussian (LQG) controller is cascaded with AUV model to adapt the tolerance and the stability of the system and compared with FOPID established by the improved whale optimization algorithm (IWOA) to identify which controlling method can make the system more harmonize and tolerable. The developed algorithm is based on improving the original WOA by reshaping a specific detail on WOA to earn a warranty that the new IWOA will have values for the update position lower than the identified lower-bound (LB), and upper-bound (UB). Furthermore, the algorithm is examined by a set of test functions that include (unimodal, multimodal and fixed dimension multimodal functions). The privileges of applying IWOA are reducing the executing time and obtaining the semi-optimal objective function as compared with the original WOA algorithm and other popular swarm-intelligence optimization algorithms.

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“…In previous research, the development of underwater ROV starts from a navigation system based on a smartphone camera [3]. After that, the research continues with researching preferable wireless data communication for small underwater water ROV [4,5] and continues with tethered wired data communication [6]. Moreover, powerdistribution and consumption on ROV is one of the main research in previous research [7] The studies on maintaining depth is accomplished in several method based on the actuator, such as using thruster [8], using elevator [9] and using a bouyancy engine [10].…”

Section: Introductionmentioning

confidence: 99%

Single camera depth control in micro class ROV

2020

Self Cite

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Navigation is one of the main challenges in an underwater vehicle. To measure and sustain the depth in the micro class remotely operated vehicle (ROV) robot is one of the main demands in the underwater robot competition. There are many sensors that can be used to measure the depth; one of the sensors is using a single camera sensor. In this works, camera-based depth control is developed and evaluated for micro class ROV, namely as fitoplankton SAS ROV. Fitoplankton SAS ROV is a micro ROV prototype with six thrusters. To maintain the depth position, a PID control system with a camera-based depth sensor as the input of the setpoint is used. Moreover, the method for the camera to measure the distance is using the triangle similarity method. In this paper, the experimental scenario is using the rectangular marker to measure the distance, and the value of the depth is processing in the ground control station (GCS). The GCS will send the thruster value to control the depth, which depends on the PID control system. The experiment results show an average of depth accuracy of 95.74% to the depth setpoint.

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Low-cost communication system for explorer-class underwater remotely operated vehicle

Cited by 5 publications

References 17 publications

A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things

A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things

Controller design for underwater robotic vehicle based on improved whale optimization algorithm

Single camera depth control in micro class ROV

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