Multi-hop Energy-Efficient Reliable Cluster-based Sectoring Scheme Using Markov Chain Model to Improve QoS Parameters in a WSN

Wategaonkar, Dhanashri Narayan; Nagaraj, S. V.; Reshmi, T. R.

doi:10.1007/s11277-021-08217-5

Cited by 7 publications

(12 citation statements)

References 16 publications

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“…According to the generated double Markov chain model, the probability distribution vectors π 1 and π 2 of the operating state of the energy Internet at the time to be detected can be obtained, and then the expectation of the operating state at the time to be detected can be obtained, the running states S E 1 and S E 2 at the moment to be detected are estimated. e specific calculation expressions are shown in formulas ( 16)- (19).…”

Section: Fdia Detection Methods Suitable For New Energy Internetmentioning

confidence: 99%

“…Among them, the measurement data of load and photovoltaic power supply are constructed based on the changing trend of active power measurement data from August 22 to September 20, 2019 (30 days in total) based on the WESTERN region given by the website of PJM Company in the United States. Multiply the original load power and photovoltaic power supply power by the power per unit value at each moment, and the measurement data of each node load and photovoltaic power source sampled every 5 minutes is constructed [19].…”

Section: Generation Of Grid Measurement Datamentioning

confidence: 99%

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Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Wang

Zhao²,

Liu

et al. 2022

Journal of Control Science and Engineering

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In order to improve the ability of the new energy Internet to defend against external attacks, the author proposes a dual Markov chain-based FDIA detection method suitable for the new energy Internet. Taking into account the FDIA principles and characteristics of the new energy Internet, and the fact that the new energy Internet contains a large amount of measurement data and changing operating states, the data to be detected is mapped to two different state spaces, and two different Markovs are generated. The detector of FDIA is generated according to the accuracy of energy Internet operation state estimated by the model. The correctness and effectiveness of the proposed detection method are verified by experimental cases. Experimental results show: The proposed FDIA detection method has excellent detection probability and less detection calculation, the detection probability can reach 98.60%, and the false alarm probability is only 1.35%, compared with the support vector machine method, the calculation amount is reduced by an order of magnitude. It is proven that the method can meet the application requirements of the new energy Internet.

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Section: Fdia Detection Methods Suitable For New Energy Internetmentioning

confidence: 99%

Section: Generation Of Grid Measurement Datamentioning

confidence: 99%

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Wang

Zhao²,

Liu

et al. 2022

Journal of Control Science and Engineering

View full text Add to dashboard Cite

show abstract

“…(1) e Bayes' rule Prior probability and posterior probability are relative to certain evidence [13]. X and Y are set as two random variables, X � x { } as a certain hypothesis, and Y � y 􏼈 􏼉 as a group of evidence.…”

Section: Eoretical Preparation (1) Bayesian Networkmentioning

confidence: 99%

Building Construction Design Based on Particle Swarm Optimization Algorithm

Song

2022

Journal of Control Science and Engineering

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In order to take a scientific risk control strategy to reduce the safety risk of construction projects, a construction safety risk decision-making method based on particle swarm optimization algorithm was proposed. Through the analysis of prefabricated building construction safety risk factors, the combination of the Markov Chain and Bayesian networks method was used to estimate the probability of risk factors. The relationship between the various risk factors was described by conditional probability, and a safety risk loss-control investment double objective optimization model was built. The corresponding algorithm was designed and the R language programming was used to solve the problem. The experimental results showed that by taking a high degree of control over the risk factors of the investment strategy, when the constraint cost was RMB 200,000, the global optimal risk loss and the global optimal control cost were RMB 1,400,500 and 19,600, respectively. When the constraint cost was 280,000 yuan, the global optimal risk loss and global optimal control cost were 1.046 million yuan and 278.5 million yuan, respectively. When the constraint cost was 320,000 yuan, the global optimal risk loss and global optimal control cost were 910,100 yuan and 317,300, yuan respectively. It was concluded that, considering the risk correlation optimization model, a reasonable allocation strategy was adopted, combined with the actual situation, which performed a promoting function in improving the assembly building construction safety risk decision-making.

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“…The proposed MOMHR routing protocol uses optimal energy and thereby increases the network's longevity in the network. Wategaonkar et al 12 have proposed an energy‐efficient reliable sectoring scheme (EERSS) for CH selection for the nodes in the WSN. The proposed protocol uses cat swarm optimization (CSO) optimization technique, which will select the CH in an optimal manner.…”

Section: Literature Surveymentioning

confidence: 99%

Comprehensive survey on data dissemination protocols for efficient reprogramming in Internet of Things

Shanmugapriya

Kumar

2022

Concurrency and Computation

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SUMMARY The Internet of Things (IoT) is a wide network of interconnected intelligent objects which can recognize the natural phenomenon of the deployed environment with the help of sensors and transmit the sensed information to other devices via internet as a backbone. Data dissemination is one of the important activities in IoT. Data dissemination is the process of updating the design framework of the sensor nodes to make the sensor nodes in IoT device to perform the intended services. Reprogramming is the process of entire change in the configuration parameters of the nodes and reconfiguration is the process of minor modification in the configuration parameter. In data dissemination, the design framework is typically disseminated through the sensor nodes to the base station using multi‐hop communication. In this article, a comprehensive survey on various dissemination approaches such as topology, reliability, scalability, structure, centralized, and de‐centralized are carried out to highlight with their advantages and limitations. Moreover, the proposed survey provides a detailed analysis on both reprogramming–related to data dissemination and reconfiguration‐related to data dissemination in order to improve the efficiency of data dissemination.

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Multi-hop Energy-Efficient Reliable Cluster-based Sectoring Scheme Using Markov Chain Model to Improve QoS Parameters in a WSN

Cited by 7 publications

References 16 publications

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Attack and Protection Technology of Intelligent Terminals for New Energy Internet Transmission, Transformation, and Distribution

Building Construction Design Based on Particle Swarm Optimization Algorithm

Comprehensive survey on data dissemination protocols for efficient reprogramming in Internet of Things

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