Özet:

Abstract Wireless sensor networks are required in an extensive variety of essential applications that collect and analyse data from the corporeal environment. A similar need for remote resource sharing exists in cloud computing, which uses a standards-based methodology. A very promising technology called Sensor Clouds is created by applying wireless sensor networks' shared sensor resources while utilising the cloud computing framework. This study offers an innovative cloud-based wireless sensor network in cloud data transmission and routing analysis utilizing deep learning technique. here the cloud based data has been transmission using wireless sensors in cloud module. Then the data routing is done for trained data where the training is carried out using fuzzy convolution based secure routing. An assessment of the empirical data has been done in perspective of validation accuracy, throughput, packet delivery ratio, end-end delay and QoS. The recommended approach accomplished validation accuracy of 95%, throughput of 93%, packet delivery ratio of 72%, end-end delay of 55% and QoS of 73%.

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