Density Based Fuzzy C Means Clustering to prolong Network  Lifetime in Smart Grids

Deepa, K.; Din, Zaheer ud

doi:10.1007/s11277-021-08371-w

Cited by 6 publications

(5 citation statements)

References 29 publications

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“…Among them, fuzzy C-means clustering algorithm (FCM) algorithm is a data clustering method based on the optimization of the objective function. It has the characteristics of unsupervised and does not need human intervention and is the most extensive and successful in information fusion [17]. Figure 4 shows the troubleshooting process of single-phase grounding fusion based on fuzzy C-means clustering analysis.…”

Section: Fault Determination Processmentioning

confidence: 99%

Realization of Single-Phase Grounding Fault Location and Recovery Technology in Distribution Network

Zhang

Tang

Zhu

et al. 2022

International Transactions on Electrical Energy Systems

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In order to locate the single-phase-to-ground fault in distribution network, a research method of single-phase-to-ground fault location and recovery technology in distribution network is proposed. According to the characteristics of single-phase-to-ground fault in distribution network, the fault characteristics of zero-sequence current and three-phase current transient records are extracted by generalized S transform of correlation coefficient, and multi-source redundant information is formed. Fuzzy C-means clustering analysis method is used to fuse multiple fault features online location strategy. The simulation results show that the fuzzy clustering based on FCM changes continuously with the accumulation of samples, and the sample center changes with the enrichment of the samples. When the arc suppression coil is grounded with different initial phase angle transition resistance and intermittent fault, the state of each measuring point can be correctly identified, and the accurate energization rate is 97%. The test results show that the system can achieve accurate positioning for all sections.

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Section: Fault Determination Processmentioning

confidence: 99%

Realization of Single-Phase Grounding Fault Location and Recovery Technology in Distribution Network

Zhang

Tang

Zhu

et al. 2022

International Transactions on Electrical Energy Systems

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“…This paper presents a method to calculate the motion similarity between UAV nodes and adjacent nodes in the coordinate system by using UAV flight coordinate information and real-time speed information. 29 Assuming that UAV A has n adjacent UAV nodes, the average speed difference between UAV A and surrounding nodes on the x and y axes is shown in equation ( 15):…”

Section: Motion Similaritymentioning

confidence: 99%

“…This paper presents a method to calculate the motion similarity between UAV nodes and adjacent nodes in the coordinate system by using UAV flight coordinate information and real‐time speed information 29 . Assuming that UAV A has n adjacent UAV nodes, the average speed difference between UAV A and surrounding nodes on the x and y axes is shown in equation (15):

$$ {\overline{v}}_{A\mathrm{x}}=\frac{\sum \limits_{i=1}^n\left({v}_A\cos \alpha -{v}_i\cos {\theta}_i\right)}{n}.

…”

Section: Design Of Uav Cooperative Networking Environment System Base...mentioning

confidence: 99%

Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

Chen

2024

Computational Intelligence

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In order to solve the huge impact of the digital information age on many technical and industrial fields, a periodic fast search genetic algorithm is proposed. Based on the reconnaissance mission, this paper introduces the common allocation strategy into mission planning, and constructs the mathematical model of multi unmanned aerial vehicle (UAV) cooperative reconnaissance mission planning decision‐making. The proposed periodic fast search genetic algorithm is used to solve the problem of multi UAV cooperative reconnaissance mission planning. In 2020, the industry growth rate of global UAV technology expenditure was as high as 30.6%, and the compound growth rate of UAV in China reached 63.5%, which is enough to see the great prospect of the integrated development of UAV technology and different industries. The experiment evaluates the log verification module of UAV by comparing the two data structures of Merkle tree and linear, and the time and memory overhead of storing and verifying logs, which shows the effectiveness of the log verification scheme in this paper.

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“…Leaders are chosen using network density because of the unique nature of NAN traffic in smart grids. The DFCM is preferred for clustering, and the desired function is defined by the membership values' weights and the extent to which they are communicated between the leader and the followers [31]. As illustrated in Table I.…”

Section: Related Workmentioning

confidence: 99%

A Systematic Study of Clustering Techniques for Energy Efficiency in Wireless Sensor Networks

Mutar¹,

Hammood²,

Hashem³

2023

IJCDS

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Recent advances in wireless sensor networks (WSNs) may be attributed to their increased accuracy and speed while gathering data, wireless communication, and data computation. Small, low-power sensor nodes present in these networks organize and set themselves up to do the activities that they are designed for. WSNs benefits are economical, simple to set up, adaptable, and efficient. However, there are some issues with longevity of networks and low energy consumption. By grouping nodes into a small number of clusters and choosing a cluster head (CH) to oversee data aggregation and transmission to the base station (BS), clustering has shown to be the most effective method for dealing with the difficulties of WSNs. Nevertheless, the insufficient CH selection and cluster construction methods, there are still a lot of challenges, including energy hole and isolated node difficulties. To learn more about this topic of how certain authors approach the aforementioned issues, we conducted an in-depth study of several meta-heuristic and non-heuristic approaches used in networks in a wide range of environments to choose CH and cluster creation, which are discussed in this paper.

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Density Based Fuzzy C Means Clustering to prolong Network Lifetime in Smart Grids

Cited by 6 publications

References 29 publications

Realization of Single-Phase Grounding Fault Location and Recovery Technology in Distribution Network

Realization of Single-Phase Grounding Fault Location and Recovery Technology in Distribution Network

Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

A Systematic Study of Clustering Techniques for Energy Efficiency in Wireless Sensor Networks

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