Cloud Computing based Wireless Sensor Network in Data Transmission With Routing Analysis Protocol and Deep Learning Technique
Keywords:
Wireless Sensor Networks, Cloud Computing, Cloud Data Transmission, Routing Analysis, Secure RoutingAbstract
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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Alzahrani, B. A. (2021). Secure and efficient cloud-based IoT authenticated key agreement scheme for e-health wireless sensor networks. Arabian Journal for Science and Engineering, 46(4), 3017-3032.
Shen, Y. (2021). Construction of a wireless sensing network system for leisure agriculture for cloud-based agricultural Internet of Things. Journal of Sensors, 2021.
Khriji, S., Benbelgacem, Y., Chéour, R., Houssaini, D. E., & Kanoun, O. (2022). Design and implementation of a cloud-based event-driven architecture for real-time data processing in wireless sensor networks. The Journal of Supercomputing, 78(3), 3374-3401.
Jaganathan, R., Ramasamy, V., Mani, L., & Balakrishnan, N. (2022). Diligence Eagle Optimization Protocol for Secure Routing (DEOPSR) in Cloud-Based Wireless Sensor Network.
Haseeb, K., Jan, Z., Alzahrani, F. A., & Jeon, G. (2022). A Secure Mobile Wireless Sensor Networks based Protocol for Smart Data Gathering with Cloud. Computers & Electrical Engineering, 97, 107584.
Nagaoka, E., Yamaguchi, A., Yoshii, M., & Mizuno, O. (2021). Design and Evaluation of Cloud-based Load Distribution Model in Information-Centric Networking based Wireless Sensor Networks. IEICE Technical Report; IEICE Tech. Rep., 120(381), 58-63.
Abdollahi, A., Rejeb, K., Rejeb, A., Mostafa, M. M., & Zailani, S. (2021). Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis. Sustainability, 13(21), 12011.
Sharma, H., Haque, A., & Blaabjerg, F. (2021). Machine learning in wireless sensor networks for smart cities: a survey. Electronics, 10(9), 1012.
Chatterjee, S., Bhunia, P. K., Mondal, P., & De, M. (2022, July). Wireless sensor network enabled real-time remote intelligent health monitoring and management system using Internet of Things (IoT) sensing with cloud-based processing during covid-19 situation. In Journal of Physics: Conference Series (Vol. 2286, No. 1, p. 012005). IOP Publishing.
Nagarajan, R., & Priscilla, G. M. Efficient and Reliable Routing With Cloud Based Source-Location Privacy Protection in Wireless Sensor Networks.
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Copyright (c) 2023 Kundan Kumar Pramanik, Sandip B. Rahane, V. N. Jayamani, Rajni Mehra, Manjunath C. R., Shashikant V. Athawale
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