Swarm Intelligence for Resource Management in Internet of Things

Swarm Intelligence for Resource Management in Internet of Things
Author: Aboul Ella Hassanien,Ashraf Darwish
Publsiher: Academic Press
Total Pages: 192
Release: 2020-08-18
ISBN 10: 0128182881
ISBN 13: 9780128182888
Language: EN, FR, DE, ES & NL

Swarm Intelligence for Resource Management in Internet of Things Book Review:

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

Swarm Intelligence Optimization

Swarm Intelligence Optimization
Author: Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2021-01-13
ISBN 10: 1119778743
ISBN 13: 9781119778745
Language: EN, FR, DE, ES & NL

Swarm Intelligence Optimization Book Review:

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 Optimization

Swarm Intelligence Optimization
Author: Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2020-12-08
ISBN 10: 1119778859
ISBN 13: 9781119778851
Language: EN, FR, DE, ES & NL

Swarm Intelligence Optimization Book Review:

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

Recent Trends in Computational Intelligence Enabled Research
Author: Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Publsiher: Academic Press
Total Pages: 418
Release: 2021-07-31
ISBN 10: 0323851797
ISBN 13: 9780323851794
Language: EN, FR, DE, ES & NL

Recent Trends in Computational Intelligence Enabled Research Book Review:

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 Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Advanced Deep Learning Applications in Big Data Analytics

Advanced Deep Learning Applications in Big Data Analytics
Author: Bouarara, Hadj Ahmed
Publsiher: IGI Global
Total Pages: 351
Release: 2020-10-16
ISBN 10: 1799827933
ISBN 13: 9781799827931
Language: EN, FR, DE, ES & NL

Advanced Deep Learning Applications in Big Data Analytics Book Review:

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.

Nature Inspired Computing for Smart Application Design

Nature Inspired Computing for Smart Application Design
Author: Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
Publsiher: Springer Nature
Total Pages: 287
Release: 2021-05-01
ISBN 10: 9813361956
ISBN 13: 9789813361959
Language: EN, FR, DE, ES & NL

Nature Inspired Computing for Smart Application Design Book Review:

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Resource Management for Internet of Things

Resource Management for Internet of Things
Author: Flávia C. Delicato,Paulo F. Pires,Thais Batista
Publsiher: Springer
Total Pages: 116
Release: 2017-03-30
ISBN 10: 3319542478
ISBN 13: 9783319542478
Language: EN, FR, DE, ES & NL

Resource Management for Internet of Things Book Review:

This book investigates the pressing issue of resource management for Internet of Things (IoT). The unique IoT ecosystem poses new challenges and calls for unique and bespoke solutions to deal with these challenges. Using a holistic approach, the authors present a thorough study into the allocation of the resources available within IoT systems to accommodate application requirements. This is done by investigating different functionalities and architectural approaches involved in a basic workflow for managing the lifecycle of resources in an IoT system. Resource Management for the Internet of Things will be of interest to researchers and students as well as professional developers interested in studying the IoT paradigm from data acquisition to the delivery of value-added services for the end user.

Soft Computing and its Engineering Applications

Soft Computing and its Engineering Applications
Author: Kanubhai K. Patel
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 9811607087
ISBN 13: 9789811607080
Language: EN, FR, DE, ES & NL

Soft Computing and its Engineering Applications Book Review:

Understanding COVID 19

Understanding COVID 19
Author: Janmenjoy Nayak
Publsiher: Springer Nature
Total Pages: 569
Release: 2021
ISBN 10: 3030747611
ISBN 13: 9783030747619
Language: EN, FR, DE, ES & NL

Understanding COVID 19 Book Review:

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers. .

Swarm Intelligence Algorithms Two Volume Set

Swarm Intelligence Algorithms  Two Volume Set
Author: Adam Slowik
Publsiher: CRC Press
Total Pages: 768
Release: 2021-01-26
ISBN 10: 1000168727
ISBN 13: 9781000168723
Language: EN, FR, DE, ES & NL

Swarm Intelligence Algorithms Two Volume Set Book Review:

Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence for Optimizing Problems in Computer Science
Author: Anand Nayyar,Dac-Nhuong Le,Nhu Gia Nguyen
Publsiher: CRC Press
Total Pages: 298
Release: 2018-10-03
ISBN 10: 042982016X
ISBN 13: 9780429820168
Language: EN, FR, DE, ES & NL

Advances in Swarm Intelligence for Optimizing Problems in Computer Science Book Review:

This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.

Advances in Swarm Intelligence

Advances in Swarm Intelligence
Author: Ying Tan,Yuhui Shi,Milan Tuba
Publsiher: Springer Nature
Total Pages: 689
Release: 2020-07-12
ISBN 10: 3030539563
ISBN 13: 9783030539566
Language: EN, FR, DE, ES & NL

Advances in Swarm Intelligence Book Review:

This book constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications.

Swarm Intelligence for Cloud Computing

Swarm Intelligence for Cloud Computing
Author: Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
Publsiher: CRC Press
Total Pages: 198
Release: 2020-07-19
ISBN 10: 0429671768
ISBN 13: 9780429671760
Language: EN, FR, DE, ES & NL

Swarm Intelligence for Cloud Computing Book Review:

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.

Management of Cyber Physical Objects in the Future Internet of Things

Management of Cyber Physical Objects in the Future Internet of Things
Author: Antonio Guerrieri,Valeria Loscri,Anna Rovella,Giancarlo Fortino
Publsiher: Springer
Total Pages: 174
Release: 2016-01-29
ISBN 10: 3319268694
ISBN 13: 9783319268699
Language: EN, FR, DE, ES & NL

Management of Cyber Physical Objects in the Future Internet of Things Book Review:

This book focuses on new methods, architectures, and applications for the management of Cyber Physical Objects (CPOs) in the context of the Internet of Things (IoT). It covers a wide range of topics related to CPOs, such as resource management, hardware platforms, communication and control, and control and estimation over networks. It also discusses decentralized, distributed, and cooperative optimization as well as effective discovery, management, and querying of CPOs. Other chapters outline the applications of control, real-time aspects, and software for CPOs and introduce readers to agent-oriented CPOs, communication support for CPOs, real-world deployment of CPOs, and CPOs in Complex Systems. There is a focus on the importance of application of IoT technologies for Smart Cities.

The Cloud in IoT enabled Spaces

The Cloud in IoT enabled Spaces
Author: Fadi Al-Turjman
Publsiher: CRC Press
Total Pages: 298
Release: 2019-07-31
ISBN 10: 1000124479
ISBN 13: 9781000124477
Language: EN, FR, DE, ES & NL

The Cloud in IoT enabled Spaces Book Review:

The Cloud in IoT-enabled Spaces addresses major issues and challenges in IoT-based solutions proposed for the Cloud. It paves the way for IoT-enabled spaces in the next generation cloud computing paradigm and opens the door for further innovative ideas. Topics include Cloud-based optimization in the IoT era, scheduling and routing, medium access, data caching, secure access, uncertainty, home automation, machine learning in wearable devices, energy monitoring, and plant phenotyping in farming. Smart spaces are solutions where Internet of Things (IoT)-enabling technologies have been employed towards further advances in the lifestyle. It tightly integrates with the existing Cloud infrastructure to impact several fields in academia and industry. The Cloud in IoT-enabled Spaces provides an overview of the issues around small spaces and proposes the most up-to-date alternatives and solutions. The objective is to pave the way for IoT-enabled spaces in the next-generation Cloud computing and open the door for further innovative ideas.

Medical Internet of Things

Medical Internet of Things
Author: Anirban Mitra,Jayanta Mondal,Anirban Das
Publsiher: CRC Press
Total Pages: 258
Release: 2021-10-29
ISBN 10: 1000470849
ISBN 13: 9781000470840
Language: EN, FR, DE, ES & NL

Medical Internet of Things Book Review:

In recent years, the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind. With the incredible development in data science, big data technologies, IoT and embedded systems, it is now possible to collect a huge amount of sensitive and personal data, compile it and store it through cloud or edge computing techniques. However, important concerns remain about security and privacy, the preservation of sensitive and personal data, and the efficient transfer, storage and processing of MIoT-based data. Medical Internet of Things: Techniques, Practices and Applications is an attempt to explore new ideas and novel techniques in the area of MIoT. The book is composed of fifteen chapters discussing basic concepts, issues, challenges, case studies and applications in MIoT. This book offers novel advances and applications of MIoT in a precise and clear manner to the research community to achieve in-depth knowledge in the field. This book will help those interested in the field as well as researchers to gain insight into different concepts and their importance in multifaceted applications of real life. This has been done to make the book more flexible and to stimulate further interest in the topic. Features: A systematic overview of concepts in Medical Internet of Things (MIoT) is included. Recent research and some pointers on future advancements in MIoT are discussed. Examples and case studies are included. It is written in an easy-to-understand style with the help of numerous figures and datasets. This book serves as a reference book for scientific investigators who are interested in working on MIoT, as well as researchers developing methodology in this field. It may also be used as a textbook for postgraduate-level courses in computer science or information technology.

Future Trends of HPC in a Disruptive Scenario

Future Trends of HPC in a Disruptive Scenario
Author: L. Grandinetti,G.R. Joubert,K. Michielsen
Publsiher: IOS Press
Total Pages: 284
Release: 2019-09-27
ISBN 10: 1614999996
ISBN 13: 9781614999997
Language: EN, FR, DE, ES & NL

Future Trends of HPC in a Disruptive Scenario Book Review:

The realization that the use of components off the shelf (COTS) could reduce costs sparked the evolution of the massive parallel computing systems available today. The main problem with such systems is the development of suitable operating systems, algorithms and application software that can utilise the potential processing power of large numbers of processors. As a result, systems comprising millions of processors are still limited in the applications they can efficiently solve. Two alternative paradigms that may offer a solution to this problem are Quantum Computers (QC) and Brain Inspired Computers (BIC). This book presents papers from the 14th edition of the biennial international conference on High Performance Computing - From Clouds and Big Data to Exascale and Beyond, held in Cetraro, Italy, from 2 - 6 July 2018. It is divided into 4 sections covering data science, quantum computing, high-performance computing, and applications. The papers presented during the workshop covered a wide spectrum of topics on new developments in the rapidly evolving supercomputing field – including QC and BIC – and a selection of contributions presented at the workshop are included in this volume. In addition, two papers presented at a workshop on Brain Inspired Computing in 2017 and an overview of work related to data science executed by a number of universities in the USA, parts of which were presented at the 2018 and previous workshops, are also included. The book will be of interest to all those whose work involves high-performance computing.

Hands On Artificial Intelligence for IoT

Hands On Artificial Intelligence for IoT
Author: Amita Kapoor
Publsiher: Packt Publishing Ltd
Total Pages: 390
Release: 2019-01-31
ISBN 10: 1788832760
ISBN 13: 9781788832762
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for IoT Book Review:

The book will help you get well-versed with different techniques in Artificial Intelligence such as machine learning, deep learning, natural language processing and more to build smart IoT systems. By the end of the book, you will have practical knowledge on how to implement and manipulate text, audio, and speech data within the IoT system.

International Conference on Intelligent Data Communication Technologies and Internet of Things ICICI 2018

International Conference on Intelligent Data Communication Technologies and Internet of Things  ICICI  2018
Author: Jude Hemanth,Xavier Fernando,Pavel Lafata,Zubair Baig
Publsiher: Springer
Total Pages: 1590
Release: 2018-12-20
ISBN 10: 3030031462
ISBN 13: 9783030031466
Language: EN, FR, DE, ES & NL

International Conference on Intelligent Data Communication Technologies and Internet of Things ICICI 2018 Book Review:

This book discusses data communication and computer networking, communication technologies and the applications of IoT (Internet of Things), big data, cloud computing and healthcare informatics. It explores, examines and critiques intelligent data communications and presents inventive methodologies in communication technologies and IoT. Aimed at researchers and academicians who need to understand the importance of data communication and advanced technologies in IoT, it offers different perspectives to help readers increase their knowledge and motivates them to conduct research in the area, highlighting various innovative ideas for future research.

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence for Optimizing Problems in Computer Science
Author: Anand Nayyar,Dac-Nhuong Le,Nhu Gia Nguyen
Publsiher: CRC Press
Total Pages: 298
Release: 2018-10-03
ISBN 10: 0429820151
ISBN 13: 9780429820151
Language: EN, FR, DE, ES & NL

Advances in Swarm Intelligence for Optimizing Problems in Computer Science Book Review:

This book provides comprehensive details of all Swarm Intelligence based Techniques available till date in a comprehensive manner along with their mathematical proofs. It will act as a foundation for authors, researchers and industry professionals. This monograph will present the latest state of the art research being done on varied Intelligent Technologies like sensor networks, machine learning, optical fiber communications, digital signal processing, image processing and many more.