Delay-Sensitive Routing Schemes for Underwater Acoustic Sensor Networks

Javaid, Nadeem; Jafri, Mohsin Raza; Ahmed, Sheeraz; Jamil, Mohsin; Khan, Zahoor Ali; Qasim, Umar; Al-Saleh, S. S.

doi:10.1155/2015/532676

Cited by 62 publications

(40 citation statements)

References 25 publications

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“…( 24) intracluster, and intracluster data processing computed using Equations 23 and 24. This way, more energy can be preserved for the inter-cluster relay traffic.…”

Section: Evolutionary Cluster-head Selection Algorithm (Chsa)mentioning

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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“…( 24) intracluster, and intracluster data processing computed using Equations 23 and 24. This way, more energy can be preserved for the inter-cluster relay traffic.…”

Section: Evolutionary Cluster-head Selection Algorithm (Chsa)mentioning

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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“…Minimized energy expenditure and maximized packet delivery ratio. Delay-sensitive routing schemes [21] Localization free depth based routing. Courier nodes collect data from sensor nodes and forward to sink.…”

Section: Reduce Global Communication Into Locally Compressed Communicmentioning

confidence: 99%

“…In [21], authors proposed three routing protocols as an improvement to localization-free depth based routing protocols: DBR, EEDBR, and AMCTD. Delay-Sensitive Depth-Based Routing (DSDBR) is an improved version of DBR which performs routing on basis of depth information, holding time and depth threshold.…”

Section: Reduced Throughputmentioning

confidence: 99%

An Energy Efficient and Balanced Energy Consumption Cluster Based Routing Protocol for Underwater Wireless Sensor Networks

Majid

Azam

Waheed

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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In Underwater Wireless Sensor Networks (UWSNs) nodes are equipped with limited battery power and battery replacement is expensive due to underwater harsh environment. Therefore, we propose EBECRP an energy Efficient and Balanced Energy consumption Cluster based Routing Protocol for UWSNs. In depth base routing protocols nodes near the sink (low depth nodes) die in no time because of high load. We avoid depth base routing in our proposed scheme and use mobile sinks to balance load on all nodes. We also use the concept of clustering to reduce multi hoping which results in more energy consumption. The selected Cluster Heads (CHs) collect data from one hope neighbor nodes to reduce global communication into locally compressed communication. Simulation results show that EBECRP achieves maximum stability period and network life time.

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“…There have been significant recent research efforts focused on the analysis and design of underwater networks [1][2][3][4], including medium access control [5][6][7][8], and routing protocols [9][10][11][12][13]. The study of underwater acoustic networks needs to take into consideration a number of design aspects that arise due to the underwater transmission medium.…”

Section: Introductionmentioning

confidence: 99%

Distortion Performance of Convolutionally Coded Underwater Acoustic Networks

Stefanov¹

2016

Fourth International Conference on Advances in Computing, Electronics and Communication - ACEC 2016

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Abstract-The paper studies the impact of point-to-point convolutional channel coding on the sustainable number of hops through the network for a maximum allowed route distortion requirement. The network is modeled by a uniform distribution of nodes over a finite area. The node-to-node channel is described by the Ricean fading model, while the interference from other nodes in the network is modeled as Gaussian. Numerical examples are presented to illustrate the results of the analysis.

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Delay-Sensitive Routing Schemes for Underwater Acoustic Sensor Networks

Cited by 62 publications

References 25 publications

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

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

An Energy Efficient and Balanced Energy Consumption Cluster Based Routing Protocol for Underwater Wireless Sensor Networks

Distortion Performance of Convolutionally Coded Underwater Acoustic Networks

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