Machine Learning Approaches for Convergence of IoT and Blockchain. Группа авторов
Читать онлайн.| Название | Machine Learning Approaches for Convergence of IoT and Blockchain |
|---|---|
| Автор произведения | Группа авторов |
| Жанр | Программы |
| Серия | |
| Издательство | Программы |
| Год выпуска | 0 |
| isbn | 9781119761877 |
Figure 1.10 India’s economic growth from 2005 to 2018.
The above data and graph, i.e. Figure 1.10 depict the economic growth observed in India staring from 2005 up until 2018. The value has been progressively increasing through the passage of these years. The amounts here are mentioned in Billion Dollars. Now, to observe the technological growth, let us observe the increase in number of internet user in the past 5 years. The data for the same is as follows.
Using the number of internet users as a parameter to estimate the rate of spread of technology, we can conclude that both technology and development go hand in hand with advancement in technology and we can create a much more efficient workflow in our industries, thereby increasing our GDP significantly as shown in Figure 1.11.
| Year | Number of users | % World population |
|---|---|---|
| 2015 | 3270M | 45% |
| 2016 | 3631M | 49.5% |
| 2017 | 3885M | 51.75% |
| 2018 | 4208M | 55.1% |
| 2019 | 4383M | 58.8% |
| 2020 | 4648M | 59.6% |
| [18] | ||
Figure 1.11 Internet users.
1.7 Applications of IoT and Blockchain Beyond Industries
There are basically three models suggested in this part of the discussion which are not only limited to the industry. These models use combinations of different technologies to make a better system than an existing one. The models shown over here can be much safer and efficient; the three models suggested over here are as follows:
Smart homes
Intelligent CCTV monitoring
Smart street lights
Apart from finding applications in the industrial sphere, the technologies of IoT and blockchain find scope beyond it as well. We will look into some such aspects where we are widely exploiting these technologies in our day-to-day life. We will see how smart homes and security via surveillance devices such as cameras have been improved depicted in Figure 1.12 is. Smart home is a living space wherein human effort required for basic activities is minimized giving superior comfort to the inhabitants. IoT and blockchain are enhancing the everyday living experience and making chores a lot easier and fun. They enhance the quality of life basically by providing automated appliance control and assistive services [19]. Feature exhibited by smart homes are major due to sensors, actuators, etc., being embedded in the structural fabric. Smart homes have evolved sustainability, comfort, healthcare, and security at one’s residence. Various components across the household are made intelligent by being aware of their surrounding with the help of IoT that is making components eligible to communicate and perform certain tasks with human interference. Any data that the sensors across various devices communicate to the cloud should preferably be stored onto a blockchain to ensure the security and to minimize the possibility of any information being misused. For a remote are such as a residential plot, private blockchain a preferred option as not many nodes are required to be given access or control to it. So, the centralized control would remain with the owner of the house who would be able to access the data as per his wish. Let is focus onto certain aspects of smart home particularly and discuss the same. One element of smart homes is smart lighting. These allow users to control the lights with the help of their mobile device or set fixed time or duration for the lights to stay on or off. Some smart lights are also linked to motion sensors, when these motion sensors do not sense any activity or commotion in a room for some fixed duration of time say 5 minutes, the intelligent system automatically turns the lights out. This feature extensively helps in minimising energy consumption and prevents any wastage of this resource. Apart from just