FRDF: Framework for Reliable Data Fusion to Leverage Communication Performance in Sensor Network

Jayasri, B. S.; Rao, G. Raghavendra

doi:10.1007/978-3-319-57141-6_2

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The proposed study is continuation of our prior works [33][34][35] where the energy consumpsion problems while obtaining reliable data fusion process are addressed to a significant aspect. However, the proposed study also aims to design a novel computational framework well capable of performing cost effective optimization process towards achieving better solution in terms of energy efficiency and reliable data fusion and communication in a large scale WSN.…”

Section: Introductionmentioning

confidence: 87%

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

Jayasri¹,

Rao²

2020

IJECE

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Wireless Sensor Network (WSN) has been studied for more than a decades that resulted in evolution of the significant applications towards assisting in sensing physical information from human inaccesible area. It was also observed from existing sysem that energy attribute is the root cause of majority of the problems associated with WSN that also gives rise to various operational reliability issue. Therefore, the prime goal of the proposed study is to present a novel predictive optimization approach of data fusion in order to jointly address the problems associated with energy efficiency and reliable operation of sensor nodes in WSN. An analytical research approach is carried out in order to ensure that a time-based synchronization scheme contributes to offer an evolutionary approach towards significant energy optimization. A simulation-based benchmarking analysis is carried out to find that proposed system offers good energy-efficient performance in comparison to existing approaches.

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Section: Introductionmentioning

confidence: 87%

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

Jayasri¹,

Rao²

2020

IJECE

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“…This section adds more information to the existing research approaches towards energy-efficiency in WSN from our prior review work [10]. Based on the extensive review, Jayasri et al [11] observed that very less studies have been carried out on reliable data dusion and further come up with a novel analytical solution namely framework for reliable data fusion (FRFD) in order to ensure energy-aware data forwading in WSN. The outcome of the study found to excel superior communication performance in terms of energy efficiency and reliable data transmission.…”

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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FRDF: Framework for Reliable Data Fusion to Leverage Communication Performance in Sensor Network

Cited by 2 publications

References 8 publications

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

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

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