Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Abstract

In the modern evolution, WSN (Wireless Sensor Network) incorporated with data aggregation platform which involves stimulating research area with various modern upgradation of AI (Artificial Intelligence). Many types of research are carried out by undertaking variety of Deep Learning Network and Fuzzy based data aggregation techniques in the interpretation of Wireless Sensor Circumstance. The focal theme of the proposed research paper is to analyze the present concentrated work on Artificial Intelligence-accompanied data aggregation paradigm in wireless communication by elaborating the integration framework. By this proposed AI with data aggregation wireless sensor system has upgraded the innovation with high empowering pillars in analyzing the data with more processing and interpretations. Since it also improves the data transmission rate by providing more security and encryption schemes to the preprocessed data storing and streaming ton the bandwidth channels. This paper enumerates the AI contribution on the computing platform with the various advancement of blockchain technology schematic framework and further its case study experimentation on the aero-engine applications. Further experimental results are provided with numerical analysis by showing the traditional and advanced-Long term Memory technique prediction results by taking aero-engine wireless sensor network environment through MATLAB simulation.

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“…The weighted under-sampling plan for help vector machine to visualize out tests in larger part class with various loads and under-examining probabilities as far as the math Euclidean distance between greater part tests and the hyperplane of help vector. 48,49…”

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