A Multi-Strategy Improved Sparrow Search Algorithm for Coverage Optimization in a WSN

Chen, Hui; Wang, Xu; Ge, Bin; Zhang, Tian; Zhu, Zihang

doi:10.3390/s23084124

Cited by 14 publications

(3 citation statements)

References 23 publications

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“…The temperature is the primary COVID-19 indicator according to the WHO [17][18][19][20], and anybody with a thermometer reading of 37.5 °C or above may be infected. A report…”

Section: Tracking Of Individuals Displaying Potential Infection Symptomsmentioning

confidence: 99%

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Remote Patient Activity Monitoring System by Integrating IoT Sensors and Artificial Intelligence Techniques

Palanisamy¹,

Padmanabhan

Ramasamy³

et al. 2023

Sensors

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Even with the most cutting-edge tools, treating and monitoring patients—including children, elders, and suspected COVID-19 patients—remains a challenging activity. This study aimed to track multiple COVID-19-related vital indicators using a wearable monitoring device with an Internet of Things (IOT) focus. Additionally, the technology automatically alerts the appropriate medical authorities about any breaches of confinement for potentially contagious patients by tracking patients’ real-time GPS data. The wearable sensor is connected to a network edge in the Internet of Things cloud, where data are processed and analyzed to ascertain the state of body function. The proposed system is built with three tiers of functionalities: a cloud layer using an Application Peripheral Interface (API) for mobile devices, a layer of wearable IOT sensors, and a layer of Android web for mobile devices. Each layer performs a certain purpose. Data from the IoT perception layer are initially collected in order to identify the ailments. The following layer is used to store the information in the cloud database for preventative actions, notifications, and quick reactions. The Android mobile application layer notifies and alerts the families of the potentially impacted patients. In order to recognize human activities, this work suggests a novel integrated deep neural network model called CNN-UUGRU which mixes convolutional and updated gated recurrent subunits. The efficiency of this model, which was successfully evaluated on the Kaggle dataset, is significantly higher than that of other cutting-edge deep neural models and it surpassed existing products in local and public datasets, achieving accuracy of 97.7%, precision of 96.8%, and an F-measure of 97.75%.

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“…The temperature is the primary COVID-19 indicator according to the WHO [17][18][19][20], and anybody with a thermometer reading of 37.5 °C or above may be infected. A report…”

Section: Tracking Of Individuals Displaying Potential Infection Symptomsmentioning

confidence: 99%

“…The temperature is the primary COVID-19 indicator according to the WHO [17][18][19][20], and anybody with a thermometer reading of 37.5 • C or above may be infected. A report generated by the system-which was operating at high temperatures-is shown in Figures 6 and 7.…”

Section: Tracking Of Individuals Displaying Potential Infection Symptomsmentioning

confidence: 99%

Remote Patient Activity Monitoring System by Integrating IoT Sensors and Artificial Intelligence Techniques

Palanisamy¹,

Padmanabhan

Ramasamy³

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The monitoring area of single sensor node in WSN is limited, and the WSN coverage must be considered. How to improve the sensor nodes coverage of a specific area is a research focus in WSN research [3], in which the rectangle monitoring area is a typical situation. Researchers proposed lots of network control algorithms to improve the WSN coverage, such as virtual force algorithm (VFA), swarm intelligence algorithm, geometric algorithm, etc.…”

Section: Introductionmentioning

confidence: 99%

Calculation and analysis of the number of sensor nodes deployed with regular polygon to cover a rectangle area

FU,

ZHOU,

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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In many application occasions of wireless sensor network (WSN), how to deploy the sensor nodes to achieve lager coverage is a significant problem. Generally, the deployment location depends on the number of sensor nodes. The regular polygon non-overlap deployed nodes coverage and non-loophole deployed nodes coverage models are built in the paper. Then the maximum number and coverage of sensor nodes deployed with non-overlap zone and the minimum number of sensor nodes deployed with non-loophole for a specific rectangle area are calculated by analytical method. According to the calculation results, it can be judged whether non-loophole or non-overlap coverage can be achieved or optimization methods is necessary for specific number of sensor nodes to cover a rectangle area.

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Transit search algorithm based on oscillation exploitation factor and Roche limit for wireless sensor network deployment optimization

Xing,

Wang,

Zhang

et al. 2024

Artif Intell Rev

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A Multi-Strategy Improved Sparrow Search Algorithm for Coverage Optimization in a WSN

Cited by 14 publications

References 23 publications

Remote Patient Activity Monitoring System by Integrating IoT Sensors and Artificial Intelligence Techniques

Remote Patient Activity Monitoring System by Integrating IoT Sensors and Artificial Intelligence Techniques

Calculation and analysis of the number of sensor nodes deployed with regular polygon to cover a rectangle area

Transit search algorithm based on oscillation exploitation factor and Roche limit for wireless sensor network deployment optimization

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