Название: Swarm Intelligence Optimization: Algorithms and ApplicationsАвтор: Abhishek Kumar, Pramod Singh Rathore
Издательство: Wiley-Scrivener
Год: 2021
Страниц: 354
Язык: английский
Формат: pdf (true)
Размер: 17.96 MB
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, Computer Science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Swarm intelligence is the subject that deals with natural and artificial structures composed of many people that coordinate the usage of decentralized manage and self-organization. In particular, the discipline specializes in the collective behaviors that end result from the local interactions of the people with each different and with their environment. Examples of structures studied by using swarm intelligence are colonies of ants and termites, colleges of fish, flocks of birds, and herds of land animals. Some human artifacts also fall into the domain of swarm intelligence, significantly some multi-robot systems, and additionally sure computer packages which can be written to tackle optimization and facts analysis problems.
So now, the beginning step in IoT is programming, the basic language that is widely used is Python, C++ is also used sometimes. So, the moment a device gets connected to the internet, it starts generating data, on small as well as on large scale and this data is very useful for future plans, strategies, etc. Now, if the data is generated, it needs to be stored. So, for that we have different technologies like haze computing, cloud computing, fog computing, Distributed Processing, and, finally, the latest one which is in trend, i.e., Hadoop. These types of technologies are not only used for storing data which is been generated by IoT devices, but they are also used by different IT firms like TCS, WIPRO, ACCENTURE, CAPGEMINI, etc., for storing their millions of terabytes.
There comes the different technology which gives a different level of height to IoT. As the word Automation is very common now a day, so when Automation gets combined with the IoT, a new era may be generated in future. Automation has pillars like AI, ML, and Deep Learning (dL), which have a wider scope in future and may retain for a longer time. So, when the algorithms of such technologies get combined with code stuffs of IoT devices, they can behave like human minds which can transform the life style of common public. Intent-Based Networking is also discussed here. Now, when the data is generated, it gets stored, then we also need to protect that time from technical flaws as well as from external elements which are known as hackers. Hackers are mainly of two types: the white collar and the black collar. White collars are our friends, but not the black collars. Many companies try to protect their data and get the data of their rivals in order to improvise their strategy to be a step ahead in the market. So, data security is one of the most important elements.
Audience:
Researchers and industry engineers in Computer Science, software engineering, Artificial Intelligence (AI), Internet of Things (IoT).
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