A systematic review on energy efficiency in the internet of underwater things (IoUT): Recent approaches and research gaps

Ali, Elmustafa Sayed; Saeed, Rashid A.; Eltahir, Ibrahim Khider; Khalifa, Othman Omran

doi:10.1016/j.jnca.2023.103594

Cited by 32 publications

(6 citation statements)

References 71 publications

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“…The broad term "marine cyberdefense" represents the security of a broad range of marine sectors, including vessels, offshore and onshore facilities, navigation and transport systems, and cargo systems that rely on networked IoT and IoUT technologies that facilitate day-to-day marine operations [10,11]. Each marine system, depending on the type of application, is enabled with peripherals such as microphones, cameras, sound and image processing units, GPS units, and a collaborative communication mechanism where sensor nodes broadcast their data packets to neighboring nodes until data exchange is achieved.…”

Section: Cyberdefense In Marine Networkmentioning

confidence: 99%

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Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach

Nkoro,

Njoku,

Nwakanma

et al. 2024

Electronics

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Integrating Explainable Artificial Intelligence (XAI) into marine cyberdefense systems can address the lack of trustworthiness and low interpretability inherent in complex black-box Network Intrusion Detection Systems (NIDS) models. XAI has emerged as a pivotal focus in achieving a zero-trust cybersecurity strategy within marine communication networks. This article presents the development of a zero-trust NIDS framework designed to detect contemporary marine cyberattacks, utilizing two modern datasets (2023 Edge-IIoTset and 2023 CICIoT). The zero-trust NIDS model achieves an optimal Matthews Correlation Coefficient (MCC) score of 97.33% and an F1-score of 99% in a multi-class experiment. The XAI approach leverages visual and quantitative XAI methods, specifically SHapley Additive exPlanations (SHAP) and the Local Interpretable Model-agnostic Explanations (LIME) algorithms, to enhance explainability and interpretability. The research results indicate that current black-box NIDS models deployed for marine cyberdefense can be made more reliable and interpretable, thereby improving the overall cybersecurity posture of marine organizations.

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Section: Cyberdefense In Marine Networkmentioning

confidence: 99%

“…The LIME explainer generates local surrogate models to approximate the decisionmaking process of a complex model, providing interpretable explanations for individual predictions by highlighting important features. LIME explanatory values can be calculated by Equation (10):…”

Section: Model Explainabilitymentioning

confidence: 99%

Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach

Nkoro,

Njoku,

Nwakanma

et al. 2024

Electronics

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“…The CH collects and aggregates data from its cluster and then sends it to a base station or surface buoy. This method dramatically reduces long-range transmissions, resulting in energy savings and extended network lifespans [5]. Advantages of Clustering:…”

Section: Clustering In Uiotmentioning

confidence: 99%

“…There is usually no possibility of recharging the battery. Further, the sensor nodes are subject to wear and tear due to the seawater's salt content and the underwater environment [5]. The existence of failure, fading, and multi-pathing phenomena in underwater communications causes nodes to be unable to communicate with one another.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability

Tarif,

Nouri Moghadam

2023

Preprint

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To facilitate wireless communication, ocean exploration, and various environmental and research applications, the underwater Internet of Things has been developed with an infrastructure of acoustic sensor networks. There has been a significant increase in failures and a decrease in the efficiency of the network due to the fluid and challenging underwater environment. Consequently, achieving quality of service (QoS) in underwater networks remains a research area. Supporting QoS in underwater sensor networks is challenging due to resource limitations such as processing power, memory, bandwidth, and power sources. The purpose of this study was to examine the service quality requirements as well as protocols that have been implemented in recent years. Finally, based on quality criteria, we have presented a routing solution based on fuzzy logic, which is more efficient than other recent methods regarding energy consumption rate, JFI, efficiency, and reliability.

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“…Clustering approaches should be improved by considering various aspects, such as dynamic characteristics of underwater objects, node position, energy, traffic load, distance from cluster head, and transmission strategy. Researchers have analysed various aspects of routing protocols, including clustering, localisation topology, route planning, and queue-based approaches [19] (Table 2). Reducing energy consumption by solving the problem of holes due to the long distance of the route.…”

Section: Recent Qos-based Routing Protocol In Uiotmentioning

confidence: 99%

Proposing a Dynamic Decision-Making Routing Method in Underwater Internet of Things

Tarif,

Nouri Moghadam

2023

Preprint

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Oceans cover about 70% of the Earth's surface, and about 95% remain unexplored for various reasons. Underwater wireless communication has been revolutionised with the help of Internet of Things networks. Recently, applications such as collecting marine data, marine monitoring, disaster prevention, historical exploration, oil and gas exploration, shipwreck exploration, maritime security, and monitoring of aquatic species and water pollution, and several applications have become possible. However, the problem of routing, information transfer, and resource preservation in the fluid underwater environment remains unsolved. In this research, we were looking for a solution to make routing more efficient, considering the various and practical criteria for the quality of service of the underwater IoT network. One of the outstanding features of this research is the possibility of dynamically weighing the parameters involved in routing and taking optimal and distributed decisions between network components. The proposed method has achieved acceptable results in terms of quality of service compared to recent methods.

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A systematic review on energy efficiency in the internet of underwater things (IoUT): Recent approaches and research gaps

Cited by 32 publications

References 71 publications

Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach

Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach

Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability

Proposing a Dynamic Decision-Making Routing Method in Underwater Internet of Things

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