Swarm Intelligence for Resource Management in Internet of Things

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  • Author : Aboul Ella Hassanien
  • Publisher : Academic Press
  • Pages : 192 pages
  • ISBN : 0128182881
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Swarm Intelligence for Resource Management in Internet of Things

Download or Read online Swarm Intelligence for Resource Management in Internet of Things full in PDF, ePub and kindle. this book written by Aboul Ella Hassanien and published by Academic Press which was released on 18 August 2020 with total page 192 pages. We cannot guarantee that Swarm Intelligence for Resource Management in Internet of Things book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 for Resource Management in Internet of Things

Swarm Intelligence for Resource Management in Internet of Things
  • Author : Aboul Ella Hassanien,Ashraf Darwish
  • Publisher : Academic Press
  • Release : 18 August 2020
GET THIS BOOK Swarm Intelligence for Resource Management in Internet of Things

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

Swarm Intelligence Optimization

Swarm Intelligence Optimization
  • Author : Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
  • Publisher : John Wiley & Sons
  • Release : 08 December 2020
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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,

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
  • Publisher : Academic Press
  • Release : 31 July 2021
GET THIS BOOK Recent Trends in Computational Intelligence Enabled Research

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

Swarm Intelligence Optimization

Swarm Intelligence Optimization
  • Author : Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
  • Publisher : John Wiley & Sons
  • Release : 13 January 2021
GET THIS BOOK Swarm Intelligence Optimization

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,

Nature Inspired Computing for Smart Application Design

Nature Inspired Computing for Smart Application Design
  • Author : Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
  • Publisher : Springer Nature
  • Release : 01 May 2021
GET THIS BOOK Nature Inspired Computing for Smart Application Design

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
  • Publisher : Springer
  • Release : 30 March 2017
GET THIS BOOK Resource Management for Internet of Things

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

Understanding COVID 19

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  • Author : Janmenjoy Nayak
  • Publisher : Springer Nature
  • Release : 03 December 2021
GET THIS BOOK Understanding COVID 19

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

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
  • Publisher : CRC Press
  • Release : 03 October 2018
GET THIS BOOK Advances in Swarm Intelligence for Optimizing Problems in Computer Science

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
  • Publisher : Springer Nature
  • Release : 12 July 2020
GET THIS BOOK Advances in Swarm Intelligence

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

Swarm Intelligence for Cloud Computing

Swarm Intelligence for Cloud Computing
  • Author : Indrajit Pan,Mohamed Abd Elaziz,Siddhartha Bhattacharyya
  • Publisher : CRC Press
  • Release : 19 July 2020
GET THIS BOOK Swarm Intelligence for Cloud Computing

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

The Cloud in IoT enabled Spaces

The Cloud in IoT enabled Spaces
  • Author : Fadi Al-Turjman
  • Publisher : CRC Press
  • Release : 31 July 2019
GET THIS BOOK The Cloud in IoT enabled Spaces

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)

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
  • Author : Peter Friess
  • Publisher : River Publishers
  • Release : 07 July 2016
GET THIS BOOK Digitising the Industry Internet of Things Connecting the Physical Digital and Virtual Worlds

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

Future Trends of HPC in a Disruptive Scenario

Future Trends of HPC in a Disruptive Scenario
  • Author : L. Grandinetti,G.R. Joubert,K. Michielsen
  • Publisher : IOS Press
  • Release : 27 September 2019
GET THIS BOOK Future Trends of HPC in a Disruptive Scenario

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