Abstract

Over the course of the last few years, a great number of studies have been carried out in the field of IoT. It has been found that there is an issue with the performance of the secure data transmission that takes place between sensor nodes and IoT devices. There is an urgent need for inventive strategies that can increase the amount of data that can be sent. In addition to this, a strategy that makes better use of energy should be put into action as soon as possible. Research is now looking at both IoT and a deep learning approach as part of the preparation for the next set of activities. In addition to the energy consumptions, there are a number of other aspects that have the ability to impact both the performance and the throughput of the work that is now being provided. A few examples of these considerations include the geographical distance, the rate of motion of the sensor nodes, and the calibre of the transmission devices. Make a recommendation for a method that can combine data compression with machine learning in order to develop a system that is both efficient in terms of energy consumption and has a high throughput. There is now research being conducted on IoT-based systems to study their degree of performance and safety, in addition to the amount of energy they save while routing data.

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