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Wang, A.; Heinzelman, Wendi; Chandrakasan, Anantha P.

doi:10.1023/a:1012235530463

Cited by 108 publications

(6 citation statements)

References 20 publications

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“…When the SNR is equal to γ , then BER (γ ) is predicted as the number of bit errors per unit time over a communication channel. Now PER can be calculated by using BER [58].…”

Section: Mathematical Modelling Of Acoustic Channel For Ioutmentioning

confidence: 99%

Reliable Data Transmission Scheme for Perception Layer of Internet of Underwater Things (IoUT)

Ishaque

Azam

2022

IEEE Access

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Internet of Underwater things (IoUT) is growing into one of the most important research interests since the last few decades. The primary objective of IoUT is to develop a worldwide network of smart underwater-interconnected objects. It has wide-ranging aquatic applications, including surveillance, pollution reduction, monitoring offshore oil and gas pipelines, disaster prevention, and navigation assistance, making it as important as a terrestrial communication system. The underwater communication channel poses unique acoustic communication challenges that suffer from long propagation delay, low bandwidth, multipath, and fading. IoUT significantly differs from the conventional Internet of Things (IoT) due to disparate environmental conditions under the ocean that require re-designing the underwater communication channel model. In addition to the challenges mentioned above, end-to-end delay and efficient energy utilization are also of great concern. Therefore, in this research paper, diverse attributes of underwater acoustic communication, including the speed of sound, transmission loss, absorption, and ambient noise, are analyzed to design a channel model for underwater communication. These environmental conditions also make underwater acoustic channels highly variable, so efficient resources, including bandwidth and power, are required. Adaptive modulation is proposed to make the communications system efficient by considering the distance between nodes and the signal-to-noise ratio as channel state information. The proposed channel model critically analyzed the CSI factors, results show efficient bandwidth utilization and appropriate power consumption for the well-suited route. The proposed research also aims to reduce end-to-end propagation delay by considering vertical angle-based shortest path (efficient route) in the Multilevel rotating priority MRP-routing algorithm.INDEX TERMS Bit error rate (BER), Internet of Things (IoT), packet error rate (PER), signal to noise ratio (SNR), Internet of Underwater Things (IoUT).

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“…When the SNR is equal to γ , then BER (γ ) is predicted as the number of bit errors per unit time over a communication channel. Now PER can be calculated by using BER [58].…”

Section: Mathematical Modelling Of Acoustic Channel For Ioutmentioning

confidence: 99%

Reliable Data Transmission Scheme for Perception Layer of Internet of Underwater Things (IoUT)

Ishaque

Azam

2022

IEEE Access

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“…Heinzelman's model [34,35] was adopted for node communication consumption. The energy consumed by sending or receiving lbit data between two nodes with a distance of d is:…”

Section: Energy Consumption Modelmentioning

confidence: 99%

“…Normal nodes, without joining in any clusters, send a broadcast within a radius of d 0 2 , where d 0 is the given threshold for communication energy consumption with the free space channel model or multipath channel model. In general, d 0 = 87 m [35]. The broadcast includes its own coordinate information.…”

Section: Concrete Implementation Scheme Of the Reclustering Processmentioning

confidence: 99%

A Distributed Image Compression Scheme for Energy Harvesting Wireless Multimedia Sensor Networks

Han

Zhang

et al. 2020

Sensors

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As an emerging technology, edge computing will enable traditional sensor networks to be effective and motivate a series of new applications. Meanwhile, limited battery power directly affects the performance and survival time of sensor networks. As an extension application for traditional sensor networks, the energy consumption of Wireless Multimedia Sensor Networks (WMSNs) is more prominent. For the image compression and transmission in WMSNs, consider using solar energy as the replenishment of node energy; a distributed image compression scheme based on solar energy harvesting is proposed. Two level clustering management is adopted. The camera node-normal node cluster enables camera nodes to gather and send collected raw images to the corresponding normal nodes for compression, and the normal node cluster enables the normal nodes to send the compressed images to the corresponding cluster head node. The re-clustering and dynamic adjustment methods for normal nodes are proposed to adjust adaptively the operation mode in the working chain. Simulation results show that the proposed distributed image compression scheme can effectively balance the energy consumption of the network. Compared with the existing image transmission schemes, the proposed scheme can transmit more and higher quality images and ensure the survival of the network.

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“…where is the tensile stress, is the crack strain and is the ultimate strain, calculated according to the expression [15]:…”

Section: Tablementioning

confidence: 99%

Numerical Modeling of a Church Nave Wall Subjected to Differential Settlements: Soil-Structure Interaction, Time-Dependence and Sensitivity Analysis

Drougkas

Verstrynge

Szekér

et al. 2019

International Journal of Architectural Heritage

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Historic masonry structures are particularly sensitive to differential soil settlements. These settlements may be caused by deformable soil, shallow or inadequate foundation, structural additions in the building and changes in the underground water table due to the large-scale land use change in urban areas.This paper deals with the numerical modeling of a church nave wall subjected to differential settlement caused by a combination of the above factors. The building in question, the church of Saint Jacob in Leuven, has suffered extensive damage caused by centuries-long settlement. A numerical simulation campaign is carried out in order to reproduce and interpret the cracking damage observed in the building.The numerical analyses are based on material and soil property determination, the monitoring of settlement in the church over an extended period of time and soil-structure interaction. A sensitivity study is carried out, focused on the effect of material parameters on the response in terms of settlement magnitude and crack width and extent.Soil consolidation over time is considered through an analytical approach. The numerical results are compared with the in-situ observed pathology and with an analytical damage prediction model.

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Untitled

Cited by 108 publications

References 20 publications

Reliable Data Transmission Scheme for Perception Layer of Internet of Underwater Things (IoUT)

Reliable Data Transmission Scheme for Perception Layer of Internet of Underwater Things (IoUT)

A Distributed Image Compression Scheme for Energy Harvesting Wireless Multimedia Sensor Networks

Numerical Modeling of a Church Nave Wall Subjected to Differential Settlements: Soil-Structure Interaction, Time-Dependence and Sensitivity Analysis

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