REVOHPR: Relay-based Void Hole Prevention and Repair by Virtual Routing in Clustered Multi-AUV Underwater Wireless Sensor Network

Chaaf, Amir; Msa, Muthanna; Muthanna, Ammar; Alhelaly, Soha; Elgendy, Ibrahim A.; Am, Iliyasu; Aa, Abd El-Latif

doi:10.20944/preprints202106.0514.v1

Cited by 9 publications

(8 citation statements)

References 37 publications

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“…As the number of nodes increases, the delay increases, because the CHs receive more packets from the sensor nodes. The comparison of the proposed work with the other protocols from [37] shows that the proposed work had less delay time than all of the other protocols with Figure 7 illustrates the network delay in relation to the number of nodes. As the number of nodes increases, the delay increases, because the CHs receive more packets from the sensor nodes.…”

Section: Resultsmentioning

confidence: 95%

“…Moreover, even when the packet size in [29] was smaller than the packet size in the proposed work herein (packet size: 500 bytes), the energy consumption in [29] was still higher. The chart in Figure 5 compares the proposed work and the previous protocols used in [37] in the aspect of consumed energy. The proposed work provided a reasonable consumption of energy with 10 nodes, in comparison to the ReVOHPR protocol.…”

Section: Resultsmentioning

confidence: 99%

“…Overall, the outcomes of the suggested work look positive in terms of consumed energy. Energy consumption results compared with protocols in [37]. Figure 5.…”

Section: Resultsmentioning

confidence: 99%

“…Considering the need for efficient packet transmission, Chaaf et al [37] proposed the relay-based void hole prevention and repair protocol (ReVOHPR). This strategy is highly effective for locating and avoiding trap relay nodes and void holes.…”

Section: Energy Resource Management In Uwsnsmentioning

confidence: 99%

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Energy-Aware Framework for Underwater Mine Detection System Using Underwater Acoustic Wireless Sensor Network

Al-Ahmadi

2023

Electronics

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Underwater mines are considered a major threat to aquatic life, submarines, and naval activities. Detecting and locating these mines is a challenging task, due to the nature of the underwater environment. The deployment of underwater acoustic sensor networks (UWASN) can provide an efficient solution to this problem. However, the use of these self-powered sensors for intensive data sensing and wireless communication is often energy-scaring and might call into question the viability of their application. One attractive solution to extend the underwater wireless sensor network will be the adoption of cluster-based communication, since data processing and communication loads are distributed in a timely manner over the members of the cluster. In this context, this study proposes an energy-efficient solution for high-accuracy underwater mine detection based on the adequate clustering approach. The proposed scheme uses a processing approach based on wavelet transformation to extract relevant features to efficiently distinguish mines from other objects using the Naïve Bayes algorithm for classification. The main novelty of this approach is the design of a new low-complexity scheme for efficient sensor-based acoustic object detection that outperforms most of the existing solutions. It consumes a low amount of energy, while ensuring 95.12% target detection accuracy.

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Section: Resultsmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 99%

“…Overall, the outcomes of the suggested work look positive in terms of consumed energy. Energy consumption results compared with protocols in [37]. Figure 5.…”

Section: Resultsmentioning

confidence: 99%

Section: Energy Resource Management In Uwsnsmentioning

confidence: 99%

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Energy-Aware Framework for Underwater Mine Detection System Using Underwater Acoustic Wireless Sensor Network

Al-Ahmadi

2023

Electronics

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“…More and more scholars are also gradually focusing on vulnerability repair. A Chaff s team research designs a relay-based Void Prevention and Repair (ReVOHPR) protocol for Underwater Wireless Sensor Networks (UWSNs), realizing efficient packet transmission and energy balancing proposed results show that this protocol, compared to the existing protocols, is more effective in balancing the energy and quality, and improves the UWSN's data transmission efficiency [9]. Feng's team research addresses the problem of node failure in wireless sensor and actuator networks, and proposes an efficient localization scheme for repairing the damaged actuator network topology in case of a single actuator node failure.…”

Section: Related Workmentioning

confidence: 99%

Distributed WSN Vulnerability Remediation System Based on Mobile-N Policy

Zhou

2023

Preprint

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Wireless sensor networks are widely used in military reconnaissance, environmental monitoring, and other fields. Due to its characteristics such as high node deployment difficulty, limited energy, etc. makes the network coverage area appear vulnerability, etc. leads to serious security problems, the study proposes a distributed wireless sensor network vulnerability repair system based on the Mobile-N strategy, through the vulnerability detection to determine the location of the vulnerability edge node, and at the same time proposes an energy and performance optimization strategy, through the mobile distance, redundancy and the remaining energy of the comprehensive comparison to select the optimal repair node. Experimental results show that the Mobile-N strategy performs well in repairing network vulnerabilities and can effectively repair vulnerabilities while minimizing energy consumption and maximizing network stability. Specifically, the effective repair area ratio and node repair rate of the Mobile-N strategy in each experiment are higher than those of other algorithms, with an average effective repair area ratio of 94.9% and an average failed node repair rate of 94.9%, which indicates that the strategy has obvious advantages in terms of repair energy efficiency and repair node rate. Therefore, the distributed WSN vulnerability repair system based on Mobile-N strategy is of great research significance for improving the security and efficiency of wireless sensor networks and ensuring their stable operation.

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