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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Hindawi
2022
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| Subjects: | |
| 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 |