Fog computing based information classification in sensor cloud-agent approach
作者：
Highlights：
• Raw information is saved directly in Sensor Cloud that impacts latency and accuracy.
• Fog computing analyzes and classifies information before saving it in sensor cloud.
• Agents are triggered to optimize the energy in prolonging the network lifetime.
• Random forest and genetic algorithm used to classify information with low variance.
• Optimized information with great accuracy is saved into sensor cloud.
摘要
•Raw information is saved directly in Sensor Cloud that impacts latency and accuracy.•Fog computing analyzes and classifies information before saving it in sensor cloud.•Agents are triggered to optimize the energy in prolonging the network lifetime.•Random forest and genetic algorithm used to classify information with low variance.•Optimized information with great accuracy is saved into sensor cloud.
论文关键词：Random forest,Genetic algorithm,Fog computing,Information classification,Agents,Sensor cloud
论文评审过程：Received 14 January 2020, Revised 2 January 2021, Accepted 16 May 2021, Available online 21 May 2021, Version of Record 29 May 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115232
