Machine Learning Approaches for Convergence of IoT and Blockchain. Группа авторов

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Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов

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content details provided by the manufacturer need to precise. Another important aspect that needs to be kept under consideration is the shelf life of edible commodities, once manufactured it is advised that it should be consumed within a specified period of time to ensure that it is good and healthy condition at the time of usage.

Schematic illustration of IoT and blockchain in food processing industry.

      1.5.4 Healthcare Industry

      As we can see in the above figure, we have created a hub or a network of all the necessary healthcare utility and connected then to each other to have a better and a more efficient monitoring system than the existing one. As we can see, we have a smart miner which is connected to carious other appliances such as a ventilator, an ambulance, and an oxygen meter to have an in depth knowledge of the patient.

      1.5.5 Military

Schematic illustration of IoT and blockchain in healthcare industry. Schematic illustration of IoT and blockchain in military.

      This planning is critical especially in times of an emergency. Another application is creation of smart bases; this is extensively helping in reducing man power and enhancing security. Here, sensors can be accommodated with everyday operation for better analysis and efficiency. Storing the sensor signals is a challenging task, since

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