Swarm Intelligence for Resource Management in Internet of Things Book

Swarm Intelligence for Resource Management in Internet of Things


  • Author : Aboul Ella Hassanien
  • Publisher : Academic Press
  • Release Date : 2020-08-18
  • Genre: Science
  • Pages : 192
  • ISBN 10 : 9780128182888
  • Total Read : 60
  • File Size : 12,5 Mb

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Swarm Intelligence for Resource Management in Internet of Things Summary:

Internet of Things (IoT) is a new platform of various physical objects or “things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

Advanced Deep Learning Applications in Big Data Analytics Book

Advanced Deep Learning Applications in Big Data Analytics


  • Author : Bouarara, Hadj Ahmed
  • Publisher : IGI Global
  • Release Date : 2020-10-16
  • Genre: Computers
  • Pages : 351
  • ISBN 10 : 9781799827931
  • Total Read : 69
  • File Size : 17,5 Mb

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Advanced Deep Learning Applications in Big Data Analytics Summary:

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Swarm Intelligence Optimization Book

Swarm Intelligence Optimization


  • Author : Abhishek Kumar
  • Publisher : John Wiley & Sons
  • Release Date : 2021-01-07
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9781119778745
  • Total Read : 60
  • File Size : 20,5 Mb

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Swarm Intelligence Optimization Summary:

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.

Recent Trends in Computational Intelligence Enabled Research Book

Recent Trends in Computational Intelligence Enabled Research


  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Release Date : 2021-07-31
  • Genre: Computers
  • Pages : 418
  • ISBN 10 : 9780323851794
  • Total Read : 71
  • File Size : 13,8 Mb

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Recent Trends in Computational Intelligence Enabled Research Summary:

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence

The Adoption and Effect of Artificial Intelligence on Human Resources Management Book

The Adoption and Effect of Artificial Intelligence on Human Resources Management


  • Author : Pallavi Tyagi
  • Publisher : Emerald Group Publishing
  • Release Date : 2023-02-10
  • Genre: Business & Economics
  • Pages : 236
  • ISBN 10 : 9781803820293
  • Total Read : 77
  • File Size : 14,5 Mb

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The Adoption and Effect of Artificial Intelligence on Human Resources Management Summary:

Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management.

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems Book

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems


  • Author : Pardeep Kumar
  • Publisher : Springer Nature
  • Release Date : 2021-08-23
  • Genre: Technology & Engineering
  • Pages : 461
  • ISBN 10 : 9783030766535
  • Total Read : 98
  • File Size : 15,8 Mb

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A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems Summary:

This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.

Swarm Intelligence for Cloud Computing Book

Swarm Intelligence for Cloud Computing


  • Author : Indrajit Pan
  • Publisher : CRC Press
  • Release Date : 2020-07-19
  • Genre: Computers
  • Pages : 198
  • ISBN 10 : 9780429671760
  • Total Read : 66
  • File Size : 20,9 Mb

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Swarm Intelligence for Cloud Computing Summary:

Swarm Intelligence in Cloud Computing is an invaluable treatise for researchers involved in delivering intelligent optimized solutions for reliable deployment, infrastructural stability, and security issues of cloud-based resources. Starting with a bird’s eye view on the prevalent state-of-the-art techniques, this book enriches the readers with the knowledge of evolving swarm intelligent optimized techniques for addressing different cloud computing issues including task scheduling, virtual machine allocation, load balancing and optimization, deadline handling, power-aware profiling, fault resilience, cost-effective design, and energy efficiency. The book offers comprehensive coverage of the most essential topics, including: Role of swarm intelligence on cloud computing services Cloud resource sharing strategies Cloud service provider selection Dynamic task and resource scheduling Data center resource management. Indrajit Pan is an Associate Professor in Information Technology of RCC Institute of Information Technology, India. He received his PhD from Indian Institute of Engineering Science and Technology, Shibpur, India. With an academic experience of 14 years, he has published around 40 research publications in different international journals, edited books, and conference proceedings. Mohamed Abd Elaziz is a Lecturer in the Mathematical Department of Zagazig University, Egypt. He received his PhD from the same university. He is the author of more than 100 articles. His research interests include machine learning, signal processing, image processing, cloud computing, and evolutionary algorithms. Siddhartha Bhattacharyya is a Professor in Computer Science and Engineering of Christ University, Bangalore. He received his PhD from Jadavpur University, India. He has published more than 230 research publications in international journals and conference proceedings in his 20 years of academic experience.

Artificial Intelligence and Internet of Things for Renewable Energy Systems Book

Artificial Intelligence and Internet of Things for Renewable Energy Systems


  • Author : Neeraj Priyadarshi
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-11-22
  • Genre: Computers
  • Pages : 318
  • ISBN 10 : 9783110714043
  • Total Read : 86
  • File Size : 20,7 Mb

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Artificial Intelligence and Internet of Things for Renewable Energy Systems Summary:

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.