A Neighborhood and Machine Learning-Enabled Information Fusion Approach for the WSNs and Internet of Medical Things

A Neighborhood and Machine Learning-Enabled Information Fusion Approach for the WSNs and Internet of Medical Things

Data redundancy or fusion is one of the common issues associated with the resource-constrained networks such as Wireless Sensor Networks (WSNs) and Internet of Things (IoTs). To resolve this issue, numerous data aggregation or fusion schemes have been presented in the literature. Generally, it is us...

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Bibliographic Details
Main Authors: Zard Ali Khan, Sheneela Naz, Rahim khan, Jason Teo, Abdullah Ghani, Mohammed Amin Almaiah
Format: Article
Language:English
English
Published: Hindawi 2022
Subjects:
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Online Access:https://eprints.ums.edu.my/id/eprint/33312/1/A%20Neighborhood%20and%20Machine%20Learning-Enabled%20Information%20Fusion%20Approach%20for%20the%20WSNs%20and%20Internet%20of%20Medical%20Things.pdf
https://eprints.ums.edu.my/id/eprint/33312/2/A%20Neighborhood%20and%20Machine%20Learning-Enabled%20Information%20Fusion%20Approach%20for%20the%20WSNs%20and%20Internet%20of%20Medical%20Things1.pdf

Internet

https://eprints.ums.edu.my/id/eprint/33312/1/A%20Neighborhood%20and%20Machine%20Learning-Enabled%20Information%20Fusion%20Approach%20for%20the%20WSNs%20and%20Internet%20of%20Medical%20Things.pdf
https://eprints.ums.edu.my/id/eprint/33312/2/A%20Neighborhood%20and%20Machine%20Learning-Enabled%20Information%20Fusion%20Approach%20for%20the%20WSNs%20and%20Internet%20of%20Medical%20Things1.pdf

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