Density, distance and energy based clustering algorithm for data aggregation in wireless sensor networks

Lin, Hai; Xie, Rong; Wei, Lanning

doi:10.1109/iccchina.2017.8330504

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…It is required to be understood that data fusion highly differs from data aggregation. It was also noticed that studies towards data fusion [8] stage in WSN is relatively less in literature as compared to that of data aggregation [9]. Basically, data fusion is a stage that connects all the communicating nodes only to check for unique accumulation of data packet from 4638 the member node in local level of clustering.…”

Section: Introductionmentioning

confidence: 99%

Analytical Modelling of Power Efficient Reliable Operation of Data Fusion in Wireless Sensor Network

Jayasri¹,

Rao²

2018

IJECE

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Irrespective of inclusion of Wireless Sensor Network (WSN) in majority of the research proposition for smart city planning, it is still shrouded with some significant issues. A closer look into problems in WSN shows that energy parameter is the origination point of majority of the other problems in resource-constrained sensors as well as it significant minimizes the reliability in standard sensory operation in adverse environment. Therefore, this manuscript presents a novel analytical model that is meant for establishing a well balance between energy efficiency over multi-path data forwarding and reliable operation with improved network performance. The complete process is emphasized during data fusion stage to ensure data quality too. A simulation study has been carried out using benchmarked test-bed of MEMSIC nodes to find that proposed system offers good energy conservation process during data fusion operation as well as it also ensure good reliable operation in comparison to existing system.

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Section: Introductionmentioning

confidence: 99%