A collision-analysis-based energy-efficient routing protocol in 3D underwater acoustic sensor networks

Yang, Chun-Hao; Ssu, Kuo‐Feng; Yang, Chun-Lin

doi:10.1016/j.comcom.2015.04.004

Cited by 12 publications

(18 citation statements)

References 49 publications

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“…Different approaches [13,14] have been designed to save the energy of the sensor nodes. Among these approaches, the cluster-based schemes are more efficient and save the energy of the network by reducing the number of transmissions.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things

Ahmed

Zhao

2019

Sensors

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The Internet of Underwater Things (IoUT) is an evolving class of Internet of Things and it is considered the basic unit for the development of smart cities. To support the idea of IoUT, an Underwater Sensor Network (USN) has emerged as a potential technology that has attractive and updated applications for underwater environment monitoring. In such networks, route selection and cluster-head management are still challenging. As the optimal routes always lead to congestion and longer delays while the cluster-head mismanagement leads to ending the USN lifespan earlier. In this paper, we propose a cooperative clustering game that is based upon energy heterogeneity and a penalty mechanism to deal with the cluster head mismanagement issue. Then, we use a non-cooperative evolutionary game for the best relay selection; the results prove that this utility function is the most suitable solution for the relay selection and its strategy selection converges to Nash Equilibrium. The proposed framework is compared with recent schemes using different quality measures and we found that our proposed framework performs favorably against the existing schemes for all of the evaluation metrics.

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Section: Related Workmentioning

confidence: 99%

A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things

Ahmed

Zhao

2019

Sensors

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“…The Delay-Aware Energy-Efficient Routing Protocol (DEEP) [40] is a 3-D routing protocol based on energy efficiency and collision rate. There is no handshake mechanism in DEEP.…”

Section: Related Workmentioning

confidence: 99%

Self-Organized Fast Routing Protocol for Radial Underwater Networks

Hyder

Poncela

Luque

et al. 2018

Sensors

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An underwater wireless sensor networks (UWSNs) is an emerging technology for environmental monitoring and surveillance. One of the side effects of the low propagation speed of acoustic waves is that routing protocols of terrestrial wireless networks are not applicable. To address this problem, routing strategies focused on different aspects have been proposed: location free, location based, opportunistic, cluster based, energy efficient, etc. These mechanisms usually require measuring additional parameters, such as the angle of arrival of the signal or the depth of the node, which makes them less efficient in terms of energy conservation. In this paper, we propose a cross-layer proactive routing initialization mechanism that does not require additional measurements and, at the same time, is energy efficient. The algorithm is designed to recreate a radial topology with a gateway node, such that packets always use the shortest possible path from source to sink, thus minimizing consumed energy. Collisions are avoided as much as possible during the path initialization. The algorithm is suitable for 2D or 3D areas, and automatically adapts to a varying number of nodes, allowing one to expand or decrease the networked volume easily.

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“…In 1 study, the authors propose an energy‐efficient delay‐aware routing protocol for UWSNs. The proposed protocol counts on a distance‐bandwidth relationship and effectively handles intermittent connectivity problems.…”

Section: Related Workmentioning

confidence: 99%

LRP: Link quality‐aware queue‐based spectral clustering routing protocol for underwater acoustic sensor networks

Faheem

Tuna

Güngör

2016

Int J Communication

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Summary Recently, underwater acoustic sensor networks (UASNs) have been considered as a promising approach for monitoring and exploring the oceans in lieu of traditional underwater wireline instruments. As a result, a broad range of applications exists ranging from oil industry to aquaculture and includes oceanographic data collection, disaster prevention, offshore exploration, assisted navigation, tactical surveillance, and pollution monitoring. However, the unique characteristics of underwater acoustic communication channels, such as high bit error rate, limited bandwidth, and variable delay, lead to a large number of packet drops, low throughput, and significant waste of energy because of packets retransmission in these applications. Hence, designing an efficient and reliable data communication protocol between sensor nodes and the sink is crucial for successful data transmission in underwater applications. Accordingly, this paper is intended to introduce a novel nature‐inspired evolutionary link quality‐aware queue‐based spectral clustering routing protocol for UASN‐based underwater applications. Because of its distributed nature, link quality‐aware queue‐based spectral clustering routing protocol successfully distributes network data traffic load evenly in harsh underwater environments and avoids hotspot problems that occur near the sink. In addition, because of its double check mechanism for signal to noise ratio and Euclidean distance, it adopts opportunistically and provides reliable dynamic cluster‐based routing architecture in the entire network. To sum up, the proposed approach successfully finds the best forwarding relay node for data transmission and avoids path loops and packet losses in both sparse and densely deployed UASNs. Our experimental results obtained in a set of extensive simulation studies verify that the proposed protocol performs better than the existing routing protocols in terms of data delivery ratio, overall network throughput, end‐to‐end delay, and energy efficiency.

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A collision-analysis-based energy-efficient routing protocol in 3D underwater acoustic sensor networks

Cited by 12 publications

References 49 publications

A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things

A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things

Self-Organized Fast Routing Protocol for Radial Underwater Networks

LRP: Link quality‐aware queue‐based spectral clustering routing protocol for underwater acoustic sensor networks

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