Performance enhancement of sensor network architecture for monitoring underwater oil pipeline

Jassim, Waseem M.; Abdelkareem, A. E.

doi:10.11591/ijece.v11i2.pp1414-1423

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…Nevertheless, due to the strong attenuation of electromagnetic signal in water [19], it is restricted for short distance transmission only. The speed of electromagnetic wave is affected by relative permittivity and relative permeability [18] as in (1):…”

Section: Methodsmentioning

confidence: 99%

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Design of an axial mode helical antenna with buffer layer for underwater applications

Jaafar

Ja’afar²,

Yamada³

et al. 2023

IJECE

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<span lang="EN-US">Recently, there is an increasing demand for high-speed wireless communication network for short-range underwater communication. From previous research, most underwater antennas produced omnidirectional radiation pattern which has lower antenna gain. There are a few considerations that need to be taken if the antenna is designed to operate in water environment. This paper discusses the electromagnetic properties which affect the underwater antenna design. Physical properties such as electrical permittivity and conductivity of water contribute significant effect to the size of the antenna as it influences the behavior of electromagnetic signal that propagates in water. In this study, an axial mode helical antenna with waterproof container is presented which operates at 433 MHz. The axial mode helical antenna has circular polarization and is suitable to support wireless application which is surrounded by some obstruction. The proposed antenna produces a bidirectional radiation pattern by placing it into a waterproof casing. Good agreement between the simulation and measurement results validates the concept. However, a little discrepancy between the simulated and measured results may be attributed to the noise originated from the equipment and the environment.</span>

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Section: Methodsmentioning

confidence: 99%

“…Nowadays, wireless communication is preferred as the use of copper wires in the connections of the underwater sensor networks with radio signals or acoustic signals may result in higher costs and the difficulty of maintenance or installation [1]. There are three techniques that are commonly used in wireless underwater communication.…”

Section: Introductionmentioning

confidence: 99%

Design of an axial mode helical antenna with buffer layer for underwater applications

Jaafar

Ja’afar²,

Yamada³

et al. 2023

IJECE

View full text Add to dashboard Cite

show abstract

“…The period should be as small as possible between sampling data at SN to reach the sink for analysis. An integer number between [1,7] is chosen to signify the event importance. In order to minimize the latency associated with the transmission of real-time event data to the sink, it is suggested to prioritize visiting the SNs.…”

Section: Event Importance Based Aco Algorithmmentioning

confidence: 99%

“…Additionally, the speed of acoustic transmission is around 1.5 × 10 3 m/s slower than the speed of light, which is (3 × 10 8 m/s), and is slower than radio wave communication, which causes a significant delay [4][5][6]. The doppler effect poses a greater vulnerability to the sent signal [7]. Due to these limitations, it is not possible to upload the algorithms created for terrestrial sensor networks to the UASN [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Data Collection Path Finding for AUV in Internet of Underwater Things

2024

IJIES

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The Internet of Underwater Things (IoUT) systems using Autonomous Underwater Vehicle (AUV) have significant issues with data collecting latency. This work explores the utilization of heuristic approaches and reinforcement learning. Specifically, we employ ant colony optimization (ACO) and Q-learning methods by implementing them using NS3 simulation. Based on the traveling salesman problem (TSP), adopting two objectives, determining the shortest path and achieving a balance between the length of the AUV's tour and increasing the value of information (VoI) of the entire network, moreover, adopting 7 scenarios, every one with a specific style of ordering visiting the sensor nodes. Additionally, the study investigates the integration of ACO and Q-learning algorithms. The results prove the suggested algorithms can obtain the desired paths planning of AUVs dealing with various numbers of SNs (10, 30, and 50) by considering the length of the path, energy consumption, and period of time for data transfer and the computation time. In contrast to previous studies that employed the branch and bound (BB), genetic algorithms (GA), and ant colony algorithm (ACA), the distance obtained is smaller by 7.5%, and the VoI increased by 0.3%. In reference to the examined algorithm's computational time, in ACO using 10 SNs (less by 0.96% for BB method and 0.32% for ACA method, and increased by 0.2% for GA method), however, the utilisation of 30 SNs exhibits a decrease of 0.99%, 52.688%, and 30.37% for BB, ACA, and GA, respectively. Additionally, Q-learning with 10 SNs takes less time than BB, ACA, and GA methods, by 95.4%, 90%, and 82.22%, respectively, as well, with 30 SNs decreased by (99.95%, 97.6%, and 96.47%) for (BB, ACA and GA) methods, respectively.

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Efficient Energy Management in Wireless Sensor Networks Using Edge Sensor Node-Based Routing Protocols

Mahmood,

Al Naiemy

2024

DJES

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Wireless Sensor Networks (WSNs) provide infrastructure for Various environments and appli- cations that require these sensors must operate in, leading to many challenges, including energy. An Energy-Efficient Edge Routing Protocol (EEERP) has been presented in this paper, the proposed protocol addresses the critical challenge of energy efficiency by leveraging edge sensor nodes(ESNs) strategically positioned at the borders of clusters to act as gateways. The proposed protocol increases the efficiency of whole network by introduce ESNs that facilitate efficient data transmission between sensor nodes and the Base Station(BS). The process of node selection take into consideration in EEERP, where the node with low energy level automatically assigned new ESN, to ensuring continuous network operation and optimal performance. Analysis of the EEERP results validate through MATLAB simulation to compareing it against established protocols such as the performance efficient data aggregation protocol(PEDAP) and high quality of service routing algorithm(HQRA). The results show that EEERP significantly enhances energy efficiency, network stability, and overall operational lifespan. The reliability of the WSN increases as demonstrated in results based dynamic clustering with gateways at cluster border-based ESNs.

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Performance enhancement of sensor network architecture for monitoring underwater oil pipeline

Cited by 3 publications

References 19 publications

Design of an axial mode helical antenna with buffer layer for underwater applications

Design of an axial mode helical antenna with buffer layer for underwater applications

Optimal Data Collection Path Finding for AUV in Internet of Underwater Things

Efficient Energy Management in Wireless Sensor Networks Using Edge Sensor Node-Based Routing Protocols

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