Impact of Buffer Management Solutions on MAC Layer Performance in Wireless Sensor Networks

Aygör, Derviş; Rehman, Sami Ur; Çelebi, Fatih V.

doi:10.1587/transcom.2017ebp3389

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Overall, the main reason for the problems in the integration process is that there are no agreed standards among the databases, and the format of the data is not the same, which will affect the data. The integration has caused some obstacles (Aygör D et al 2018) [7]. Therefore, when entering large amounts of data, there will always be some errors and some inconsistent data (Alomari A et al 2018) [8].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

Bai

2019

J Wireless Com Network

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Data mining technology is a very common computer technology, which has been widely used in many fields because of its superior performance. The method of talent management data cleaning in wireless sensor networks is studied based on data mining technology. The research status of data mining technology is first introduced at home and abroad, and the specific application forms of wireless sensor networks are analyzed. Then, the structure characteristics of wireless sensor networks are introduced, and a data cleansing technology is proposed based on clustering model. A cluster-based replication record deletion algorithm is proposed, and finally, the accuracy of data cleansing methods is verified. The results show that the research method of this paper is correct and effective.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

Bai

2019

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…In general, the main reason for the problems in the integration process is that there are no harmonized standards among the databases, and the data format is different, which affects the data. Integration has caused some obstacles [6]. Therefore, when entering large amounts of data, there will always be some errors and conflicting results [7].…”

Section: Drawbacksmentioning

confidence: 99%

Data Cleaning Method in Wireless Sensor-Based on Intelligence Technology

Diachok¹,

Klym²

2022

MEM

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The method of cleaning management data in wireless sensor networks based on intelligence technology has been studied. Specific forms of application of wireless sensor networks are analyzed. The characteristics of the structure of wireless sensor networks are presented and the data cleaning technology based on the clustering model is offered. An algorithm for deleting a cluster-based replication record is proposed and the accuracy of data cleaning methods is tested. The obtained results testify to the efficiency of using the studied method.

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Impact of Buffer Management Solutions on MAC Layer Performance in Wireless Sensor Networks

Cited by 2 publications

References 28 publications

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

RETRACTED ARTICLE: Data cleansing method of talent management data in wireless sensor network based on data mining technology

Data Cleaning Method in Wireless Sensor-Based on Intelligence Technology

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