Developing Model of Fuzzy Constraints Based on Redundancy Allocation Problem by an Improved Swarm Algorithm

Huang, Chia‐Ling; Jiang, Yunzhi; Yeh, Wei-Chang

doi:10.1109/access.2020.3018860

Cited by 14 publications

(7 citation statements)

References 60 publications

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“…According to the above situation, in the case of cloud computing data outsourcing environment, researchers propose a new method to expand data access and improve the security performance of encryption algorithm as a whole. For big data in multiauthority cloud, combined with improved attribute encryption, they propose a flexible and secure access control model, design a new policy update process based on improved proxy reencryption, and formulate an efficient policy update scheme [2,3]. However, this method has the problem of more redundant data in the process of big data encryption.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Sun¹,

Yan²,

Yang³

2022

Journal of Sensors

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Encrypting data based on the data attributes of robots is one of the effective methods to control access users in the data outsourcing environment. Therefore, a mathematical modeling method of robot data attribute encryption based on data redundancy elimination technology is proposed. The encryption algorithm structure is analyzed based on the Bloom filter. The Hamming distance is used to calculate the similarity of big data by the Bloom filter. Finally, a big data ellipse encryption algorithm is designed according to the calculation results. The results show that during the whole experiment, the approximate fluctuation range is 0.08%~0.14%, which is not only high but also has a large fluctuation range. In contrast, the probability of occurrence of redundant data is less than 0.05% under different byte rates of redundant data, which is far lower than the two traditional methods, indicating that the application performance of the proposed method is good.

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Section: Introductionmentioning

confidence: 99%

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Sun¹,

Yan²,

Yang³

2022

Journal of Sensors

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“…In 2020, Huang et al [8] proposed the dependability improvement of sensor networks which is handled by the suggested ISSO method. This method creates a new credibility-based fuzzy model for a series-parallel redundancy allocation problem's limits (RAP).…”

Section: Related Workmentioning

confidence: 99%

OFDM-CFO and Resource Scheduling Algorithm Using Fuzzy Linear-CFO

Prabhu¹,

Kumar²

2023

Intelligent Automation &Amp; Soft Computing

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Orthogonal Frequency-Division Multiplexing (OFDM) is the form of a digital system and a way of encoding digital data across multiple frequency components that are used in telecommunication services. Carrier Frequency Offset (CFO) inaccuracy is a major disadvantage of OFDM. This paper proposed a feasible and elegant fuzzy-based resource allocation technique, that overcomes the constraints of the CFO. The suggested Fuzzy linear CFO estimation (FL-CFO) not only estimates the CFO with increased precision but also allocates resources effectively, and achieves maximum utilization of dynamic resources. The suggested FL-CFO error estimation algorithm in OFDM systems employing 1-bit Quadrate errors ADC (1-bit QE) is utilized to extract the precise CFO. Additionally, the base station (BS) manages the Resource Units (RU), which could be used to distribute resources in such a manner that the user requests are met. To assign resources to a certain job, fuzzy rules are devised. When the residence duration exceeds the resource requirement time then the particular resources are provided to the highest-priority jobs. As a result, the job performance will not be halted due to a lack of allocated resources. Performance metrics such as utilization, rate of failure, and life span, as well as energy consumption, are used to assess the proposed FL-CFO.

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“…Du et al [14] presented a non-homogeneous RRAP for multi-state series-parallel systems. Huang et al [15] formulated a model of fuzzy constraints for a series-parallel RRAP. Li et al [16] designed a global reliability with RRAP and it is solved by using an updated swarm optimization technique.…”

Section: Related Workmentioning

confidence: 99%

Optimization of time-dependent fuzzy multi-objective reliability redundancy allocation problem for n-stage series–parallel system

De,

Roy,

Roy

et al. 2023

Innovations Syst Softw Eng

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This study introduces a time dependent fuzzy multi-objective reliability redundancy allocation problem (TF-MORRAP) for the n-stage (level) series parallel system. System reliability maximization and system cost minimization according to time by optimizing the redundant components counting at every stage of the system is the main objective of this study. This optimization is done by satisfying the entropy constraints with limited redundant components at every stage and in the whole system. The reliability and cost of every component are represented as triangular fuzzy numbers (TFN) to handle the uncertainty of input information of the system. According to time the component reliability and cost decrease by some factor of their previous existing value. This factor follows the change in the length of radius of the inverse logarithmic spiral with respect to angle which is regarded as time here. The proposed problem is analysed by using an over-speed protection system of a gas turbine. We compare the membership values of optimal solutions obtained by using two well-known techniques namely Non-dominated sorting genetic algorithm-II (NSGA-II) and a multi-objective particle swarm optimization algorithm called NF-MOPSO. Various performances of the algorithms are compared to solve the aforementioned problem by using some performance metrics. NF-MOPSO shows the high satisfaction level of objective functions and better performance than NSGA-II.

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Developing Model of Fuzzy Constraints Based on Redundancy Allocation Problem by an Improved Swarm Algorithm

Cited by 14 publications

References 60 publications

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

Mathematical Modeling Analysis of Data Attribute Encryption for Robot

OFDM-CFO and Resource Scheduling Algorithm Using Fuzzy Linear-CFO

Optimization of time-dependent fuzzy multi-objective reliability redundancy allocation problem for n-stage series–parallel system

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