SensDeploy: efficient sensor deployment strategy for real-time localization

Lee, Jin‐Hee; Shin, Byeong‐Seok

doi:10.1186/s13673-017-0117-2

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…Lee and Shin proposed that the sensor signal is modeled as a Gaussian-based signal point group, and the signal points in the overlapping area between two different sensors are classified into each sensor group by the e-SVM (support vector machine) method. In addition, trilateration techniques are used to estimate the position of moving objects [18]. Zhu et al proposed an NSLP model that integrates optimal heterogeneous sensor deployment and operational strategies for dynamic O-D demand estimation under budget constraints.…”

Section: Related Workmentioning

confidence: 99%

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Liu

et al. 2021

Mathematical Problems in Engineering

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In a wireless sensor network, the sensor nodes transmit the acquired information to the server through the data transmission link. On the serverside, the data are processed, fused, and expressed to serve the user. Sensor deployment is a key factor related to the stability and security of wireless networks. This article uses environmental changes to drive related technologies to deploy wireless sensors. In this article, environmental change-driven means that through certain deployment cost model assumptions and problem descriptions, network deployment is artificially divided into two stages: initial deployment and redeployment. In the deployment phase, by referring to the idea of virtual force, a new sensor deployment algorithm is proposed in the redeployment phase, which can well solve the stability- and security-related issues encountered in agricultural wireless sensor networks. In this algorithm, the moving distance of the mobile receiver and the average coverage of the network are calculated based on the virtual force, the direction, and the number of adjacent clusters. Finally, the algorithm model was simulated in MATLAB, and the feasibility of the algorithm was verified by analyzing the event coverage and the moving distance of nodes. The final simulation results show that the algorithm proposed in this paper can achieve better performance than existing algorithms in terms of average coverage and moving distance.

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Section: Related Workmentioning

confidence: 99%

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Liu

et al. 2021

Mathematical Problems in Engineering

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“…Jagadeesh Kakarla and et al, had been published the IDMMAC: Interference Aware Multi-Channel MAC WSAN Protocol Distributed [8]. Jin-Hee Lee and Byeong-Seok Shin, had been published a paper about the Delivery of sensors: an effective real-time delivery technique [9]. Ming Xie and et al, has been published a paper about Membrane-based sewage recovery processes: technology, pr oblems, and future path [10].…”

Section: Related Workmentioning

confidence: 99%

Identifying High Significance Input Factors in Strawberry Production using Linear Model

Shin¹,

Rahman²,

Lee³

et al. 2019

IJITEE

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This study is focused on identifying the high significance of input factors in strawberry growth and production using a linear regression model. Greenhouse strawberry cultivation is increasing so fast due to the high demand for strawberry and farmers are also taking different types of technics for greenhouse cultivation to get high productions of strawberry. This study aims to increase the production of strawberries in order to maximize the profits from the cultivation of strawberries and also to fulfill the demand for strawberries. The strawberry data consist of average strawberry productions (AvgSP), electric conductivity (EC), potential of Hydrogen (PH) value, greenhouse inside temperature (Temp), greenhouse inside humidity, CO2 , nutrient solution with water, and supply of water nutrient solution. To find out the relationship among each input factor we use the correlation method and after that based on the correlation we make different types of combination of input factors. In this study, we use the linear regression method to find out the R2 value and significance factors of different combinations of input factors. For the linear regression model we take average strawberry production as output and different combination of input factors as input. In result and discussion, we concluded the high significance input factors in strawberry growth production.

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“…Based on the results of the user study, we could identically analyze the performance of CAMFA. Rather, based on the collected dataset, additional analysis can be performed assuming the changed conditions such as the additional authentication methods, advance decision algorithms [31,32], or the modified LOA criteria. We have a plan to use this dataset to conduct further research to improve the performance of CAMFA.…”

Section: Threats To Validitymentioning

confidence: 99%

Context-Aware Multimodal FIDO Authenticator for Sustainable IT Services

et al. 2018

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Existing sustainable IT services have several problems related to user authentication such as the inefficiency of managing the system security, low security, and low usability. In this paper, we propose a Fast IDentity Online (FIDO) authenticator that performs continuous authentication with implicit authentication based on user context and multimodal authentication. The proposed FIDO authenticator, a context-aware multimodal FIDO authentication (CAMFA) method, combines information such as the user context, state of the mobile device, and user biometrics, then applies implicit and explicit authentication methods to meet the level of authentication required by the service provider. This reduces the user's explicit authentication burden and continually authenticates users at risk during the session. Moreover, it is able to respond to attacks such as the theft of the authentication method or session hijacking. To study the effectiveness of CAMFA, we ran a user study by collecting data from 22 participants over 42 days of activity on a practical Android platform. The result of the user study demonstrates that the number of explicit authentication requests could be reduced by half. Based on the results of this study, an advanced user authentication that provides multimodal and continuous authentication could be applied to sustainable IT services.

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SensDeploy: efficient sensor deployment strategy for real-time localization

Cited by 9 publications

References 27 publications

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

Identifying High Significance Input Factors in Strawberry Production using Linear Model

Context-Aware Multimodal FIDO Authenticator for Sustainable IT Services

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