Effect of data aggregation on wireless sensor network performance

Patil, Prakashgoud; Patil, Nandini S.; Ayachit, N. H.; Kulkarni, Umakant P.

doi:10.1109/tisc.2010.5714642

Cited by 35 publications

(18 citation statements)

References 5 publications

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“…The accuracy of the aggregated data sent to the BS cannot be assured while the CH is compromised. The uncompromised nodes send numerous copies of aggregated end result to the BS because of which the energy fed on the nodes is elevated [4].…”

Section: Data Aggregationmentioning

confidence: 99%

Enhanced Technique for Selection of Cluster Head in Wireless Sensor Network

2017

IJAERD

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Section: Data Aggregationmentioning

confidence: 99%

Enhanced Technique for Selection of Cluster Head in Wireless Sensor Network

2017

IJAERD

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“…at CH can be done in two ways: with size reduction and without size reduction [28]. The former refers to combining and compressing the data received by a SN in order to reduce the size of the packet that need to be transmitted forward, while, the latter means combining the data packets received from different neighbors into a single packet without processing the value of the data.…”

Section: Processing Techniques Applied At Individual Nodementioning

confidence: 99%

Data Fusion and Data Aggregation/Summarization Techniques in WSNs: A Review

Chhabra¹,

Singh²

2015

IJCA

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Wireless sensor networks are energy constrained networks. Energy consumption in these networks can be reduced by processing the raw data at individual nodes through the application of suitable aggregation technique so that there is minimum amount of data that need to be transmitted towards the sink. The data aggregation functions that are applied should adhere to correctness, and should be computationally less complex considering the capabilities of the sensor nodes. In this paper, a brief survey on the present aggregation protocols and their impact, and some of the techniques that are applied at individual sensor nodes to reduce sensed data are presented.

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“…In this work [6] a query based aggregation techniques has been proposed and implemented. Based on TAG (Tiny Aggregation) this technique derives query specific aggregated value from the data set.…”

Section: Literature Surveymentioning

confidence: 99%