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Swarm Intelligence for Resource Management in Internet of Things

Swarm Intelligence for Resource Management in Internet of Things
A Book

by Aboul Ella Hassanien,Ashraf Darwish

  • Publisher : Academic Press
  • Release : 2020-08-18
  • Pages : 192
  • ISBN : 0128182881
  • Language : En, Es, Fr & De
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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

Resource Optimization Using Swarm Intelligence and the Iot

Resource Optimization Using Swarm Intelligence and the Iot
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2020-08
  • Pages : 129
  • ISBN : 9781799850960
  • Language : En, Es, Fr & De
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Swarm Intelligence Optimization

Swarm Intelligence Optimization
Algorithms and Applications

by Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal

  • Publisher : John Wiley & Sons
  • Release : 2020-12-08
  • Pages : 384
  • ISBN : 1119778859
  • Language : En, Es, Fr & De
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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
Theoretical Foundations and Applications

by Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan

  • Publisher : Academic Press
  • Release : 2021-07-31
  • Pages : 418
  • ISBN : 0323851797
  • Language : En, Es, Fr & De
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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

Swarm Intelligence Optimization

Swarm Intelligence Optimization
Algorithms and Applications

by Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal

  • Publisher : John Wiley & Sons
  • Release : 2021-01-13
  • Pages : 384
  • ISBN : 1119778743
  • Language : En, Es, Fr & De
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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.

Nature-Inspired Computing for Smart Application Design

Nature-Inspired Computing for Smart Application Design
A Book

by Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal

  • Publisher : Springer Nature
  • Release : 2021-05-01
  • Pages : 287
  • ISBN : 9813361956
  • Language : En, Es, Fr & De
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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
A Book

by Flávia C. Delicato,Paulo F. Pires,Thais Batista

  • Publisher : Springer
  • Release : 2017-03-30
  • Pages : 116
  • ISBN : 3319542478
  • Language : En, Es, Fr & De
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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
Second International Conference, icSoftComp 2020, Changa, Anand, India, December 11–12, 2020, Proceedings

by Kanubhai K. Patel

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 9811607087
  • Language : En, Es, Fr & De
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Understanding COVID-19

Understanding COVID-19
The Role of Computational Intelligence

by Janmenjoy Nayak

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 569
  • ISBN : 3030747611
  • Language : En, Es, Fr & De
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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. .

Advances in Swarm Intelligence for Optimizing Problems in Computer Science

Advances in Swarm Intelligence for Optimizing Problems in Computer Science
A Book

by Anand Nayyar,Dac-Nhuong Le,Nhu Gia Nguyen

  • Publisher : CRC Press
  • Release : 2018-10-03
  • Pages : 298
  • ISBN : 042982016X
  • Language : En, Es, Fr & De
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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
11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings

by Ying Tan,Yuhui Shi,Milan Tuba

  • Publisher : Springer Nature
  • Release : 2020-07-12
  • Pages : 689
  • ISBN : 3030539563
  • Language : En, Es, Fr & De
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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
A Book

by Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya

  • Publisher : CRC Press
  • Release : 2020-07-19
  • Pages : 198
  • ISBN : 0429671768
  • Language : En, Es, Fr & De
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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.

The Cloud in IoT-enabled Spaces

The Cloud in IoT-enabled Spaces
A Book

by Fadi Al-Turjman

  • Publisher : CRC Press
  • Release : 2019-07-31
  • Pages : 298
  • ISBN : 1000124479
  • Language : En, Es, Fr & De
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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.

Digitising the Industry - Internet of Things Connecting the Physical, Digital and Virtual Worlds

Digitising the Industry - Internet of Things Connecting the Physical, Digital and Virtual Worlds
A Book

by Peter Friess

  • Publisher : River Publishers
  • Release : 2016-07-07
  • Pages : 364
  • ISBN : 8793379811
  • Language : En, Es, Fr & De
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This book provides an overview of the current Internet of Things (IoT) landscape, ranging from the research, innovation and development priorities to enabling technologies in a global context. A successful deployment of IoT technologies requires integration on all layers, be it cognitive and semantic aspects, middleware components, services, edge devices/machines and infrastructures. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC - Internet of Things European Research Cluster from research to technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster and the IoT European Platform Initiative (IoT-EPI) and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in the next years. The IoT is bridging the physical world with virtual world and requires sound information processing capabilities for the "digital shadows" of these real things. The research and innovation in nanoelectronics, semiconductor, sensors/actuators, communication, analytics technologies, cyber-physical systems, software, swarm intelligent and deep learning systems are essential for the successful deployment of IoT applications. The emergence of IoT platforms with multiple functionalities enables rapid development and lower costs by offering standardised components that can be shared across multiple solutions in many industry verticals. The IoT applications will gradually move from vertical, single purpose solutions to multi-purpose and collaborative applications interacting across industry verticals, organisations and people, being one of the essential paradigms of the digital economy. Many of those applications still have to be identified and involvement of end-users including the creative sector in this innovation is crucial. The IoT applications and deployments as integrated building blocks of the new digital economy are part of the accompanying IoT policy framework to address issues of horizontal nature and common interest (i.e. privacy, end-to-end security, user acceptance, societal, ethical aspects and legal issues) for providing trusted IoT solutions in a coordinated and consolidated manner across the IoT activities and pilots. In this, context IoT ecosystems offer solutions beyond a platform and solve important technical challenges in the different verticals and across verticals. These IoT technology ecosystems are instrumental for the deployment of large pilots and can easily be connected to or build upon the core IoT solutions for different applications in order to expand the system of use and allow new and even unanticipated IoT end uses. Technical topics discussed in the book include: IntroductionDigitising industry and IoT as key enabler in the new era of Digital EconomyIoT Strategic Research and Innovation Agenda IoT in the digital industrial context: Digital Single MarketIntegration of heterogeneous systems and bridging the virtual, digital and physical worldsFederated IoT platforms and interoperabilityEvolution from intelligent devices to connected systems of systems by adding new layers of cognitive behaviour, artificial intelligence and user interfaces. Innovation through IoT ecosystemsTrust-based IoT end-to-end security, privacy framework User acceptance, societal, ethical aspects and legal issuesInternet of Things Applications

Business Intelligence for Enterprise Internet of Things

Business Intelligence for Enterprise Internet of Things
A Book

by Anandakumar Haldorai,Arulmurugan Ramu,Syed Abdul Rehman Khan

  • Publisher : Springer Nature
  • Release : 2020-06-09
  • Pages : 289
  • ISBN : 3030444074
  • Language : En, Es, Fr & De
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This book discusses Internet of Things (IoT) as it relates to enterprise applications, systems, and infrastructures. The authors discuss IoT and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how IoT in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book's topics include IoT enterprise system architecture, IoT enabling enterprise technologies, and IoT enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various IoT use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes.

Future Trends of HPC in a Disruptive Scenario

Future Trends of HPC in a Disruptive Scenario
A Book

by L. Grandinetti,G.R. Joubert,K. Michielsen

  • Publisher : IOS Press
  • Release : 2019-09-27
  • Pages : 284
  • ISBN : 1614999996
  • Language : En, Es, Fr & De
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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.

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
A Book

by Jude Hemanth,Xavier Fernando,Pavel Lafata,Zubair Baig

  • Publisher : Springer
  • Release : 2018-12-20
  • Pages : 1590
  • ISBN : 3030031462
  • Language : En, Es, Fr & De
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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.

Resource Management in Future Internet

Resource Management in Future Internet
A Book

by Vladimir Poulkov,Ramjee Prasad

  • Publisher : River Publishers
  • Release : 2015
  • Pages : 242
  • ISBN : 8793102445
  • Language : En, Es, Fr & De
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Future Internet and Internet of Things set out a new vision for connectivity, real-time applications, and services. Data procured from the use of a large number of heterogeneous physical and virtual devices must be real-time processed and analyzed for the goal of effective resource management and control while maintaining the required performance and quality of service. In addition, the development of the communication networks toward heterogeneous and new generation broadband connectivity brings up new requirements toward the way of managing and controling the available resources. Thus, effective resource management in future internet novel approaches must be proposed and developed. It could be seen that, recently, a considerable amount of effort has been devoted on behalf of industry and academia toward the research and design of methods for effective management of resources in internet and multimedia communications. Resource Management in Future Internet reviews some specific topics in the field of future internet and internet technologies that are closely related to the issue of finding effective solutions for the management of resources and performance. Technical topics discussed in the book include: * Future Internet Technologies * Internet of things * Multimedia Networks * Wireless Access Networks * Software Communications * Positioning and Localization in Communications * Resource Management. Resource Management in Future Internet is recommended for specialists working in the field of information and communication industries as well as academic staff and researchers working in the field of multimedia communications and telecommunication networks.

Intelligent Techniques for Data Science

Intelligent Techniques for Data Science
A Book

by Rajendra Akerkar,Priti Srinivas Sajja

  • Publisher : Springer
  • Release : 2016-10-11
  • Pages : 272
  • ISBN : 3319292064
  • Language : En, Es, Fr & De
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This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

Frontiers in Nature-Inspired Industrial Optimization

Frontiers in Nature-Inspired Industrial Optimization
A Book

by Mahdi Khosravy

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 981163128X
  • Language : En, Es, Fr & De
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