A Hierarchical Information Acquisition System for AUV Assisted Internet of Underwater Things

Qin, Chuan; Du, Jun; Wang, Jingjing; Ren, Yong

doi:10.1109/access.2020.3026395

Cited by 27 publications

(11 citation statements)

References 45 publications

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“…Document [8] designed and implemented a set of mobile Internet multiparameter health monitoring service systems to realize multiparameter measurement. Literature [9,10] puts forward an open and reconfigurable wireless sensor network, which can transmit ECG, blood oxygen saturation SpO2, pulse wave, and other data amounts to remote service stations with different equipment configurations according to different diseases at different stages. Literature [11] uses piezoresistive triaxle acceleration sensor to measure the relationship between human motion acceleration and energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Snow and Ice Sports Health and Sports Information Collection System Based on Internet of Things

Cheng

2022

Journal of Healthcare Engineering

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The promotion of ice and snow sports not only provides professional athletes for the Winter Olympics but also acts as appreciative mass bases for ice and snow sports. The appearance of ice and snow sports will bring a new consumption pattern and develop a new ice and snow industry. In this paper, an Internet of Things (IoT)-based sports information collection system which is specifically designed and developed for the healthcare domain specifically in the snow and ice sports is proposed. The physiological parameters such as body temperature, ECG, blood pressure, blood sugar, and blood oxygen saturation are captured through various monitoring devices. These physiological parameters are transmitted to the mobile device by the wireless module and mobile device that receives and displays these physiological parameters. A complete hardware design of the whole ice and snow sports health and sports information acquisition system, which is based on the Internet of Things, is given, and then, there is the overall design scheme of the system, such as adopted modular design for the system, attitude measurement unit, UWB positioning unit, data storage, and communication unit, respectively. The measurement results of the professional medical equipment are compared with those of acquisition equipment in real environment of ice and sports. These results have verified accuracy of data collected by acquisition equipment and meet the design requirements of the proposed system.

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Section: Introductionmentioning

confidence: 99%

Implementation of Snow and Ice Sports Health and Sports Information Collection System Based on Internet of Things

Cheng

2022

Journal of Healthcare Engineering

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“…This mobile sink path-planning method would also increase the total cruising time of mobile sink and its operating cost. Some articles (such as Huang [19] and Qin [20]) have provided data collection schemes for UMSN based on cluster networking to solve this problem. The authors of [19] proposed an AUV-assisted data gathering scheme based on clustering and matrix completion (ACMC), which can realize the comprehensive optimization of energy and delay in the UMSN.…”

Section: Related Workmentioning

confidence: 99%

“…The extensive experiment validated effectiveness of the scheme. The authors in [20] introduced a cluster head dynamic conversion mechanism by considering energy load and node survival rate in their energy-aware clustering protocol for UMSN. In the AUV motion layer, they established a reliable AUV trajectory model to quantify the angle change during its operation.…”

Section: Related Workmentioning

confidence: 99%

An energy-balanced head nodes selection scheme for underwater mobile sensor networks

Liu

et al. 2022

J Wireless Com Network

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Underwater sensor networks system is a promising technology for smart ocean monitoring applications. To address the imbalance problem of network overhead and limited energy of underwater sensor nodes, this paper presents a CH–SH Selection and Sink Path-planning (CSSP) scheme to collect vast amount of data from heterogeneous sensor nodes. The scheme firstly establishes a three-layer network structure model for underwater mobile sensor networks (UMSN) based on multi-mode communication mechanism and provides energy-balanced head nodes (cluster head and sub-cluster head nodes) selection algorithm based on particle swarm iterative optimization. Then, the optimal global-path-plan of mobile sink is proposed to visit all the head nodes to collect data, reduce the multi-hop underwater acoustic transmission distance of relay nodes, and avoid the energy hole problem. Lastly, the upper-layer multi-hop network of UMSN is designed to remotely control local-path-plan over mobile sink, in order to implement joint planning of global and local paths of mobile sink. Simulation results verified that the proposed CSSP scheme outperformed 11%, 16% and 22% over three typical protocols in terms of nodes energy consumption, CSSP was 9%, 12% and 19% lower than three typical protocols in terms of SD of energy consumption, packet delivery ratio of CSSP was 8%, 10% and 12% higher than three typical protocols. The scheme could significantly balance energy and reduce packet loss rate.

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“…In order to ensure a 2 Complexity certain degree of fairness, the academic circles carry out researches on the fair bandwidth sharing methods with the granularity of virtual machine, cloud service, and cloud tenant virtual data center, respectively. e core idea of the fair bandwidth sharing method with virtual machine as granularity is to realize a distributed congestion control system based on hypervisor and share the link bandwidth proportionally according to all virtual machine flows on the link [21]. e method of realizing congestion control is to rewrite the idle bits of IP packet header.…”

Section: Related Workmentioning

confidence: 99%

Cloud Trust-Driven Hierarchical Sharing Method of Internet of Things Information Resources

Zhang

2021

Complexity

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Short information sharing time is one of the problems to be solved in the traditional Internet. Therefore, this paper proposes a hierarchical simulation of the Internet of Things sharing structure framework that trusts the cloud to drive Internet information resource sharing. By setting thresholds and iterative adjustment parameters, a complementary judgment matrix is constructed to obtain the minimum nonnegative deviation value and the optimal weight vector. This paper sorts according to the value of the Internet information security model, obtains the optimal model to avoid human tampering, and designs the information resource acquisition process to ensure the reliability of the source data. We use radio frequency identification (RFID) equipment in the preprocessing of massive heterogeneous data in the Internet of Things. In a network environment where resources are limited and heterogeneous are fully considered, the trust-based adaptive detection algorithm is used to evaluate the credibility of the trust-driven algorithm for hierarchical information resource sharing services in the cloud environment of the Internet of Things. We propose a cloud trust-driven hierarchical information resource sharing Internet information resource model. Firstly, the key characteristics of hierarchical information resource sharing are analyzed. Then, a hierarchical information resource sharing model was established by using specific constraints, trust steepness function, cloud trust evaluation criteria, and trust constraint coefficient. Finally, an example of IoT system is designed to verify the effectiveness of the model. Experimental results show that, compared with the traditional model or algorithm, this model has a good hierarchical sharing effect of the underlying resource information.

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A Hierarchical Information Acquisition System for AUV Assisted Internet of Underwater Things

Cited by 27 publications

References 45 publications

Implementation of Snow and Ice Sports Health and Sports Information Collection System Based on Internet of Things

Implementation of Snow and Ice Sports Health and Sports Information Collection System Based on Internet of Things

An energy-balanced head nodes selection scheme for underwater mobile sensor networks

Cloud Trust-Driven Hierarchical Sharing Method of Internet of Things Information Resources

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