Evolutionary algorithm applications for IoTs dedicated to precise irrigation systems: state of the art

Taleb, Soumaya Ferhat; Benalia, Nour El-Houda; Sadoun, Rabah

doi:10.1007/s12065-021-00676-w

Cited by 5 publications

(3 citation statements)

References 135 publications

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“…The use of evolutionary algorithms for clustering in WSN has been very promising. 5,[58][59][60][61] Arjunan and Sujatha 62 proposed a hybrid protocol using ant colony optimization (ACO)-based routing and fuzzy-based unequal clustering. FIS makes unequal clusters efficiently while ACO ensures efficient and reliable inter-cluster routing.…”

Section: Fuzzy Logic Combined With Evolutionary Algorithms For Cluste...mentioning

confidence: 99%

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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: Fuzzy Logic Combined With Evolutionary Algorithms For Cluste...mentioning

confidence: 99%

“…The use of evolutionary algorithms for clustering in WSN has been very promising 5,58–61 . Arjunan and Sujatha 62 proposed a hybrid protocol using ant colony optimization (ACO)‐based routing and fuzzy‐based unequal clustering.…”

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

“…A method of data graph based on multidimensional synthesis is proposed through the analysis of data graph. Given the existing problems in the Internet of Things big data, this project intends to use feature extraction technology to identify them [11]. Set the data set to be excavated to S. Then the paper sets the dimension of this data set to s. By analysing the properties of these data, a set E is obtained.…”

Section: Internet Of Things Characteristic Information Detectionmentioning

confidence: 99%

Data Mining Algorithm Based on Fusion Computer Artificial Intelligence Technology

Bai,

Bao,

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: The paper constructs a massive data mining model of distributed spatiotemporal databases for the Internet of Things. Then a homologous data fusion method based on information entropy is proposed. The storage space required by the tree structure is reduced by constructing the data schema tree of the merged data set. Secondly, the optimal dynamic support degree is obtained by using a neural network and genetic algorithm. Frequent items in the Internet of Things data are mined to achieve the normalization of the clustered feature data based on the threshold value. Experiments show that the F-measure of the data mining algorithm improves the efficiency by 15.64% and 18.25% compared with the kinds of other literatures respectively. RI increased by 21.17% and 26.07%, respectively.

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A comprehensive survey on optimization techniques for efficient cluster based routing in WSN

Karpurasundharapondian,

Selvi

2024

Peer-to-Peer Netw. Appl.

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Evolutionary algorithm applications for IoTs dedicated to precise irrigation systems: state of the art

Cited by 5 publications

References 135 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

Data Mining Algorithm Based on Fusion Computer Artificial Intelligence Technology

A comprehensive survey on optimization techniques for efficient cluster based routing in WSN

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