International Journal of Computer Networks and Applications

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A Study of Machine Learning in Wireless Sensor Network


Affiliations
1 College of Life Science, Nanjing Agricultural University, Nanjing, China
2 University Women’s Polytechnic, Aligarh Muslim University, Aligarh, India
 

Within this Paper, a concept of machine learning strategies suggested in this investigation to address the design issues in WSNs is introduced. As can be viewed within this paper, countless endeavors have induced up to now; several layout issues in wireless sensor networks have been remedied employing numerous machine learning strategies. Utilizing machine learning based algorithms in WSNs need to deem numerous constraints, for instance, minimal sources of the network application that really needs distinct events to be tracked as well as other operational and non-operational aspects.

Keywords

Wireless Sensor Network, Machine Learning, Supervised Machine Learning, Unsupervised Machine Learning.
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  • A Study of Machine Learning in Wireless Sensor Network

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Authors

Zaki Ahmad Khan
College of Life Science, Nanjing Agricultural University, Nanjing, China
Abdus Samad
University Women’s Polytechnic, Aligarh Muslim University, Aligarh, India

Abstract


Within this Paper, a concept of machine learning strategies suggested in this investigation to address the design issues in WSNs is introduced. As can be viewed within this paper, countless endeavors have induced up to now; several layout issues in wireless sensor networks have been remedied employing numerous machine learning strategies. Utilizing machine learning based algorithms in WSNs need to deem numerous constraints, for instance, minimal sources of the network application that really needs distinct events to be tracked as well as other operational and non-operational aspects.

Keywords


Wireless Sensor Network, Machine Learning, Supervised Machine Learning, Unsupervised Machine Learning.

References