Market segmentation of wireless sensor system in network commodity selection

Online product recommendation and market segmentation are directly related to the consumer experience and the healthy development of the e-commerce market. In order to improve the selection of network products and the effect of market segmentation, this study introduced a wireless sensing system bas...

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Published in:EURASIP journal on wireless communications and networking Vol. 2019; no. 1; pp. 1 - 10
Main Author: Liu, Fuxiang
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 02.09.2019
Springer Nature B.V
SpringerOpen
Subjects:
Algorithms
Application
Commodity selection
Communications Engineering
Distributed Big Data Processing in SCADA Communication Networks
Electronic commerce
Engineering
Information Systems Applications (incl.Internet)
Market segmentation
Markets
Network commodity
Network topologies
Networks
Recommender systems
Signal,Image and Speech Processing
Wireless networks
Wireless sensing system
Wireless sensing system
Commodity selection
Market segmentation
Network commodity
Application
ISSN:1687-1499, 1687-1472, 1687-1499
Online Access:Get full text
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Abstract Online product recommendation and market segmentation are directly related to the consumer experience and the healthy development of the e-commerce market. In order to improve the selection of network products and the effect of market segmentation, this study introduced a wireless sensing system based on the recommendation of traditional network products and combined the operational conditions of the network commodity market to construct a personalized recommendation e-commerce system. Meanwhile, a series of representative WSN congestion control strategies are designed by dynamically adjusting the network topology, routing algorithm, channel allocation protocol, and channel resource utilization, and the system structural components and functions are implemented. The research shows that the proposed algorithm and system have certain practical effects and can provide theoretical reference for subsequent related research.
AbstractList Abstract Online product recommendation and market segmentation are directly related to the consumer experience and the healthy development of the e-commerce market. In order to improve the selection of network products and the effect of market segmentation, this study introduced a wireless sensing system based on the recommendation of traditional network products and combined the operational conditions of the network commodity market to construct a personalized recommendation e-commerce system. Meanwhile, a series of representative WSN congestion control strategies are designed by dynamically adjusting the network topology, routing algorithm, channel allocation protocol, and channel resource utilization, and the system structural components and functions are implemented. The research shows that the proposed algorithm and system have certain practical effects and can provide theoretical reference for subsequent related research.
Online product recommendation and market segmentation are directly related to the consumer experience and the healthy development of the e-commerce market. In order to improve the selection of network products and the effect of market segmentation, this study introduced a wireless sensing system based on the recommendation of traditional network products and combined the operational conditions of the network commodity market to construct a personalized recommendation e-commerce system. Meanwhile, a series of representative WSN congestion control strategies are designed by dynamically adjusting the network topology, routing algorithm, channel allocation protocol, and channel resource utilization, and the system structural components and functions are implemented. The research shows that the proposed algorithm and system have certain practical effects and can provide theoretical reference for subsequent related research.
ArticleNumber 217
Author Liu, Fuxiang
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10.3390/computers6030026
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10.1016/j.jag.2017.01.006
10.1109/TVT.2018.2833388
10.1109/JSTSP.2017.2737784
10.1002/slct.201602045
10.1080/00207721.2016.1177128
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10.1002/dac.3407
10.1007/s11042-016-3340-3
10.1109/VTCFall.2016.7881074
10.1109/JSAC.2017.2679578
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Copyright The Author(s). 2019
EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s). 2019
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Keywords Wireless sensing system
Commodity selection
Market segmentation
Network commodity
Application
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Snippet Online product recommendation and market segmentation are directly related to the consumer experience and the healthy development of the e-commerce market. In...
Abstract Online product recommendation and market segmentation are directly related to the consumer experience and the healthy development of the e-commerce...
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SubjectTerms Algorithms
Application
Commodity selection
Communications Engineering
Distributed Big Data Processing in SCADA Communication Networks
Electronic commerce
Engineering
Information Systems Applications (incl.Internet)
Market segmentation
Markets
Network commodity
Network topologies
Networks
Recommender systems
Signal,Image and Speech Processing
Wireless networks
Wireless sensing system
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Title Market segmentation of wireless sensor system in network commodity selection
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Volume 2019
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