Scalable structure-free data fusion on wireless sensor networks

Koupaee, Mahnaz; Kangavari, Mohammad Reza; Amiri, Mohammad Javad

doi:10.1007/s11227-017-2072-0

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Koupaee Mahnaz introduces a distributed dynamic fusion algorithm. At the end of the waiting time, the method node performs data fusion and sends the fusion data to the best neighbor selected by the proposed optimal neighbor algorithm [12].…”

Section: Related Workmentioning

confidence: 99%

Design of Oil Field Data Fusion Integration Platform

Song,

Liang,

et al. 2023

Frontiers in Artificial Intelligence and Applications

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With the deepening of oilfield digitization process, oilfield data sharing can improve data utilization and is conducive to mining oilfield production laws. Due to historical reasons, there are great differences in the formats of databases and data tables used in different oil fields. Under the condition of keeping the data storage environment and format of each oil field unchanged, the establishment of an integrated data fusion platform can improve the access speed of data and enhance the utilization effect. The platform integrates the data in Oracle, SQL Server 2008, SQL Server 2012 and other databases in the form of data mapping. The integrated platform adopts SQL Server 2012. In the process of data fusion, data integrity and legitimacy directly affect the accuracy of data mining and data analysis. The system belong to B / S architecture, uses HTML and C# language to jointly carry out front and back-end development in vs 2015 environment, and realizes data fusion of different databases. Taking the information of 10000 wells of Chuanqing drilling company as the test data, the system can extract and display the data as required, and remind the error of unreasonable data, so that users can check and calibrate the data, so as to achieve the goal of data availability.

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Section: Related Workmentioning

confidence: 99%

Design of Oil Field Data Fusion Integration Platform

Song,

Liang,

et al. 2023

Frontiers in Artificial Intelligence and Applications

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“…The heart rate value is compared with the target heart rate to determine whether the user is doing aerobic exercise, and the voice module is used to remind the user. Using inertial sensors to collect gait information, after preprocessing and algorithm analysis, the user's movement steps are finally displayed in real time [21]. The influencing factors of energy expenditure are mostly related to the biological factors of the individual.…”

Section: Overall Design Planmentioning

confidence: 99%

Design of Running Training Assistance System Based on Blockchain And Wireless Sensor Technology

Ma¹

2020

Preprint

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Running exercise can increase the basal metabolic rate and increase the time of aerobic exercise. It is a healthy and effective exercise method. Based on the current needs of the general public for running auxiliary training, this article combines wireless sensing and blockchain technology in the design scheme, and designs and implements a running training auxiliary technology. First, obtain the user's gait information and other related parameters in the process through the wireless sensor network, and optimize the calculation gait in different states through the noise processing algorithm. Then, use the blockchain technology to design a data transmission and storage plan for the protection and analysis of the user's personal privacy data. This technology builds a new type of sports training assistance system for the masses of modern society and contributes to the masses' physical exercise.

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“…Data from different types and different applications are considered in this method. [30] Assigns waiting time to the node rather than packets. This makes all nodes, even those which are not in the event area, have the possibility to fuse data rather than just forwarding separate packets.…”

Section: Spatial Convergencementioning

confidence: 99%

“…In order to perform fusion, packets containing data need to be met at the same type at the same place. [18] with the same data type MAC layer DASD Homogenous sensors Potential field theory --R [28] with the same data type RAG -Heterogeneous sensors Data aware any cast at Packet Judiciously waiting time [19] with different data type MAC layer Policy ADA Heterogeneous sensors Potential field theory Packet Packet-Driven Adaptive [29] with the same data type Timing Scheme BN+WT Heterogeneous sensors Graph summarization Node Waiting time according to [30] with different data type using sensors attributes the distance to the sink and furthest point of the network…”

Section: Spatial Convergencementioning

confidence: 99%

Data Fusion Techniques in Wireless Sensor Networks: Structured Vs. Structure-Free Approaches

Koupaee¹,

Reza²

2018

Journal of Networking Technology

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Recent advancements in sensor technology, wireless networks and consequently wireless sensor networks and the increase of their applications in different fields have led to their great importance. One of the most important challenges is the management of huge amount of data produced by sensors in network in order to reduce data traffic in network and minimize the energy consumption. This paper gives a survey on different data fusion techniques dividing them into two main groups: structured and structure-free. The main properties of structured approaches are discussed and the motivations to introduce structure-free approaches are emphasized via describing the shortcomings of structured approaches.

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Scalable structure-free data fusion on wireless sensor networks

Cited by 7 publications

References 25 publications

Design of Oil Field Data Fusion Integration Platform

Design of Oil Field Data Fusion Integration Platform

Design of Running Training Assistance System Based on Blockchain And Wireless Sensor Technology

Data Fusion Techniques in Wireless Sensor Networks: Structured Vs. Structure-Free Approaches

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