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• W4297496152 abstract "AbstractThis work highlights the scope machine learning approaches in Mobile Wireless Sensor Networks. As Mobile Wireless Sensor Network faces numerous challenges in terms of energy conservation, data collection and aggregation, fault tolerance, QoS. Sink Mobility, etc. Machine learning is the branch of Artificial intelligence used to analyse data for making predictions, so as to get the optimized results. Here, work shows how the machine learning approaches can be used in sensor networks to improve network performance by extending lifetime, data collection and aggregation, handling mobility of sink node, QOS, fault tolerance, etc.KeywordsMobile wireless sensor networksMachine learningArtificial intelligenceData aggregationData collection" @default.
• W4297496152 created "2022-09-29" @default.
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• W4297496152 date "2022-09-29" @default.
• W4297496152 modified "2023-09-27" @default.
• W4297496152 title "Scope of Machine Learning in Mobile Wireless Sensor Networks" @default.
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• W4297496152 doi "https://doi.org/10.1007/978-981-19-4193-1_52" @default.
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