Efficient meta-heuristic approaches in solving minimal exposure path problem for heterogeneous wireless multimedia sensor networks in internet of things

Binh, Nguyen Thi My; Bình, Huỳnh Thị Thanh; Linh, Nguyen Van; Yu, Shui

doi:10.1007/s10489-019-01628-9

Cited by 12 publications

(10 citation statements)

References 25 publications

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“…7, it can be seen even if the number of variables is high, the proposed method offers a low cost of installation when compared to the existing method [14]. For example, if the number of variables is 10, the proposed method will be 1525 INR whereas with the same number of variables the existing method [13] offers 1893 INR which is much higher than the proposed method. Therefore, in all four scenarios, the proposed method proves to be more efficient in terms of intensity, cost and quality of data.…”

Section: Test Scenariomentioning

confidence: 93%

“…Even worst case arrangement should be considered for effective monitoring of different methodologies at minimum path resolution [13]. The method suggested in [13] is fairly similar to the proposed method but the major difference relies on converting the numerical functions obtained at high functionalities. Even the approach discussed in [13] is a non-linear function where the computation function is highly minimized.…”

Section: Literature Surveymentioning

confidence: 99%

“…The method suggested in [13] is fairly similar to the proposed method but the major difference relies on converting the numerical functions obtained at high functionalities. Even the approach discussed in [13] is a non-linear function where the computation function is highly minimized. Moreover, it is much difficult to obtain a low-cost solution if the dimensions are greater because nanoparticles will be used and if a high dimension is combined, then it will be very difficult for the data monitoring process.…”

Section: Literature Surveymentioning

confidence: 99%

“…Some existing works have implemented a monitoring system for sensing individuals suffering from infectious diseases [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. All existing methodologies have their benefits and problems addressed in deliberated methods are not adequate to implement in society as the enormous population is prevailing all over the world.…”

Section: Research Gap and Motivationmentioning

confidence: 99%

“…3 illustrates the flow chart of integrating the back propagation algorithm for detecting COVID with blockchain technology. The task completed by different networks will be combined at the output stage with computational error as given in Equation (13).…”

Section: Optimization Algorithmmentioning

confidence: 99%

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Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

2021

KSII TIIS

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This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

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Section: Test Scenariomentioning

confidence: 93%

Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Research Gap and Motivationmentioning

confidence: 99%

Section: Optimization Algorithmmentioning

confidence: 99%

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Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

2021

KSII TIIS

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Energy aware optimal routing model for wireless multimedia sensor networks using modified Voronoi assisted prioritized double deep Q‐learning

Suseela,

Krithiga,

Revathi

et al. 2023

Concurrency and Computation

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SummaryThe energy hole problem is critical in Wireless Multimedia Sensor Network (WMSN), wherein the nodes closer to the sink node will expire sooner than the outer sub‐regions. Because they transmit their packet and forward the outer sub‐regions packet to the sink. Hence, a hole arises near the sink node after a very short time. Thus, an energy‐aware optimal routing model is introduced in this research using Modified Voronoi‐assisted prioritized double deep Q‐learning (PDDQL). Initially, the sensor nodes are deployed using the Voronoi cell structure that splits the entire region of interest into different Voronoi polygons. However, the Voronoi diagram will not always predict an efficient route because of the nodes at a Voronoi edge or vertex outside the transmission range. To tackle this issue, a new Voronoi diagram is proposed that depends on the maximum horizontal transmission range to remove the portion of Voronoi edges uncovered by the sensor node. After the deployment, a PDDQL algorithm is used to select the Relay Nodes based on their remaining energy. The proposed PDDQL determines an alternate route to transmit the packet if an energy hole problem has occurred in WMSN. The analysis of a proposed routing protocol based on the assessment measures like packet delivery ratio, average residual energy, number of alive nodes, and average end‐to‐end delay accomplished the value of 198.33 (ms), 2.05 (J), 100, and 0.85, respectively.

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Minimum Transmission Power Control for the Internet of Things with Swarm Intelligence Algorithms

Çınar

2022

Engineering Applications of Modern Metaheuristics

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Efficient meta-heuristic approaches in solving minimal exposure path problem for heterogeneous wireless multimedia sensor networks in internet of things

Cited by 12 publications

References 25 publications

Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

Energy aware optimal routing model for wireless multimedia sensor networks using modified Voronoi assisted prioritized double deep Q‐learning

Minimum Transmission Power Control for the Internet of Things with Swarm Intelligence Algorithms

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