FLAG: fuzzy logic augmented game theoretic hybrid hierarchical clustering algorithm for wireless sensor networks

Naik, Chandra; Shetty, Pushparaj D.

doi:10.1007/s11235-022-00878-2

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…In Naik and Shetty, 72 the authors proposed two protocols, namely, FLAG and I‐FLAG, which aim to extend the stability of the network. They used a game theoretic protocol and FIS to select the CH a super CH.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

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SummaryA wireless sensor network (WSN) is a network of tiny sensors deployed to collect data. These sensors are powered with batteries that have limited power. Recharging and/or replacement of these batteries, however, are not always feasible. Over the past few years, WSN applications are being deployed in diverse fields such as military, manufacturing, healthcare, agriculture, and so on. With the ever‐increasing applications of WSNs, improving the energy efficiency of the WSNs still remains to be a challenge. Applying fuzzy logic to the problem of clustering exploits the uncertainty associated with the factors that affect the lifetime of these sensors and enables the development of models that would improve their performance in real‐world applications. We present a comprehensive review of various fuzzy‐based techniques for clustering in WSNs whose main goal is to optimize energy usage in WSNs while simultaneously improving their overall performance.

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Section: Literature Reviewmentioning

confidence: 99%

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Verma

Bhatia

Zeadally

et al. 2023

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Typical hierarchical methods are BIRCH, CUBE, ROCK, Chameleon, AGNES, DIANA, etc. Figure 2 depicts the process of a cohesive hierarchical clustering method and a split hierarchical clustering method on a data set {a, b, c, d, e} containing five objects [34]. The basic idea of hierarchy-based clustering algorithm is relatively simple, but the algorithm must wait for the termination condition to complete in order to start, so the scalability of this type of algorithm is poor.…”

Section: Current Status Of Research Applications Of Data Processing A...mentioning

confidence: 99%

An Improved Optimization Algorithm Based on Density Grid for Green Storage Monitoring System

et al. 2022

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This study takes a sample of green storage monitoring data for corn from a biochemical energy enterprise, based on the enterprise’s original storage monitoring system while establishing a “green fortress” intending to achieve green and sustainable grain storage. This paper proposes a set of processing algorithms for real-time flow data from the storage system based on cluster analysis to detect abnormal storage conditions, achieve the goal of green grain storage and maximize benefits for the enterprises. Firstly, data from the corn storage monitoring system and the current status of research on data processing algorithms are analyzed. Our study summarizes the processing of re-al-time stream data together with the characteristics of the monitoring system and discusses the application of clustering analysis algorithms. The study includes an in-depth study of the green storage monitoring system data for corn and the processing requirements for real-time stream data. As the main novelty of this research, the optimization algorithm model is applied to the green storage monitoring system for maize and is validated. Finally, the processing results for the green storage monitoring data for maize are presented in graphical and textual formats.

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Tripartite evolutionary game in the process of network attack and defense

Chen,

Fan,

Leng

et al. 2024

Telecommun Syst

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At present, the confrontation in cyberspace is becoming more and more fierce, and network attacks and defenses have become the main form of confrontation between parties in cyberspace. The maximum benefit can be obtained by using scientific decision-making. Traditional network attack and defense research mainly focuses on the relationship between network attackers and network defenders, but enough to explain the benefits of in the evolution of network attacks and defenses. In view of this, this paper constructs a tripartite evolutionary game model among network attackers, network defenders and government regulators, analyzes Article Title the evolutionary stability of each participant's strategy choice, discusses the influence of each element on the tripartite strategic choices, and further analyzes the stability of the equilibrium point of the tripartite evolutionary system. The research results show that (1) the timely supervision of the network by the government supervision department is conducive to enhancing the construction of network security and has strategic significance for the security of cyberspace; (2) the network defense department can obtain more effective defense measures when being attacked by the network; (3) the network defense party can analyze the strategic defense requirements that are more in line with its own benefits. Finally, we use Matlab2021a to conduct simulation analysis, verify the effectiveness of the evolutionary game model under different initial conditions, and put forward reasonable suggestions for network defenders and government regulators according to the analysis conclusions.

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FLAG: fuzzy logic augmented game theoretic hybrid hierarchical clustering algorithm for wireless sensor networks

Abstract: Noname manuscript No.

Cited by 6 publications

References 35 publications

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

Fuzzy‐based techniques for clustering in wireless sensor networks (WSNs): Recent advances, challenges, and future directions

An Improved Optimization Algorithm Based on Density Grid for Green Storage Monitoring System

Tripartite evolutionary game in the process of network attack and defense

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