Download Soft Computing In Wireless Sensor Networks full books in PDF, epub, and Kindle. Read online Soft Computing In Wireless Sensor Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
This book focuses on the suitable methods to solve optimization problems in wireless network system utilizing digital sensors like Wireless Sensor Network. This kind of system has been emerging as the cornerstone technology for all new smart devices and its direct application in many fields in life.
Book Synopsis Soft Computing in Wireless Sensor Networks by : Huynh Thi Thanh Binh
Download or read book Soft Computing in Wireless Sensor Networks written by Huynh Thi Thanh Binh and published by CRC Press. This book was released on 2018-09-27 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the suitable methods to solve optimization problems in wireless network system utilizing digital sensors like Wireless Sensor Network. This kind of system has been emerging as the cornerstone technology for all new smart devices and its direct application in many fields in life.
This book uses tutorials and new material to describe the basic concepts of soft-computing which potentially can be used in real-life sensor network applications. It is organized in a manner that exemplifies the use of an assortment of soft-computing applications for solving different problems in sensor networking. Written by worldwide experts, the chapters provide a balanced mixture of different problems concerning channel access, routing, coverage, localization, lifetime maximization and target tracking using emerging soft-computing applications.
Book Synopsis Soft Computing Applications in Sensor Networks by : Sankar K. Pal
Download or read book Soft Computing Applications in Sensor Networks written by Sankar K. Pal and published by CRC Press. This book was released on 2016-10-03 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses tutorials and new material to describe the basic concepts of soft-computing which potentially can be used in real-life sensor network applications. It is organized in a manner that exemplifies the use of an assortment of soft-computing applications for solving different problems in sensor networking. Written by worldwide experts, the chapters provide a balanced mixture of different problems concerning channel access, routing, coverage, localization, lifetime maximization and target tracking using emerging soft-computing applications.
Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN. It creates interdisciplinary theory, concepts, definitions, models and findings involved in WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership. The book offers comprehensive coverage of the most essential topics, including: Evolutionary algorithms Swarm intelligence Hybrid algorithms Energy efficiency in WSN Load balancing of gateways Localization Clustering and routing Designing fitness functions according to the issues in WSN. The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN.
Book Synopsis Wireless Sensor Networks by : Damodar Reddy Edla
Download or read book Wireless Sensor Networks written by Damodar Reddy Edla and published by CRC Press. This book was released on 2020-11-23 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN. It creates interdisciplinary theory, concepts, definitions, models and findings involved in WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership. The book offers comprehensive coverage of the most essential topics, including: Evolutionary algorithms Swarm intelligence Hybrid algorithms Energy efficiency in WSN Load balancing of gateways Localization Clustering and routing Designing fitness functions according to the issues in WSN. The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN.
This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.
Book Synopsis Nature Inspired Computing for Wireless Sensor Networks by : Debashis De
Download or read book Nature Inspired Computing for Wireless Sensor Networks written by Debashis De and published by Springer Nature. This book was released on 2020-02-01 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.
Document from the year 2018 in the subject Instructor Plans: Computing / Data Processing / IT / Telecommunication, , course: Wireless Sensor Network, language: English, abstract: This book, Introductory Concepts of Wireless Sensor Network provides the details study of Wireless Sensor Network Introduction, Application, Middleware and basic concept of cloud computing with WSN. This book also uses the Data Transmission concepts for secure data transmission over the wireless sensor network in distributed environment. This book is useful for undergraduates, postgraduates and research scholar students for their course work and research projects in the field of engineering, science and technology. The text is organized into ten chapters, Chapter 1 and Chapter 2 provides Basic concept of wireless sensor network and their application in real life. Chapter 3 and Chapter 4 Routing in Cluster Based Wireless Sensor Networks and Cluster Based Distribution Routing Protocol for wireless sensor network. Chapter 5 and Chapter 6, includes MAC Protocol for WSN & MANET and Routing Protocols in Wireless Sensor Network. Chapter 7 and Chapter 8, give the brief introduction of Transport Control Protocols for WSN and different Middleware’s for WSN. Chapter 9 and Chapter 10 give brief Concept of Cloud Computing with WSN and Data Transmission over the WSN. Finally, this book includes un-solved problems, exercise and list of projects that are useful for both graduate and post-graduate students.
Book Synopsis Introductory Concepts of Wireless Sensor Network. Theory and Applications by : Dac-Nhuong Le
Download or read book Introductory Concepts of Wireless Sensor Network. Theory and Applications written by Dac-Nhuong Le and published by GRIN Verlag. This book was released on 2018-01-02 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document from the year 2018 in the subject Instructor Plans: Computing / Data Processing / IT / Telecommunication, , course: Wireless Sensor Network, language: English, abstract: This book, Introductory Concepts of Wireless Sensor Network provides the details study of Wireless Sensor Network Introduction, Application, Middleware and basic concept of cloud computing with WSN. This book also uses the Data Transmission concepts for secure data transmission over the wireless sensor network in distributed environment. This book is useful for undergraduates, postgraduates and research scholar students for their course work and research projects in the field of engineering, science and technology. The text is organized into ten chapters, Chapter 1 and Chapter 2 provides Basic concept of wireless sensor network and their application in real life. Chapter 3 and Chapter 4 Routing in Cluster Based Wireless Sensor Networks and Cluster Based Distribution Routing Protocol for wireless sensor network. Chapter 5 and Chapter 6, includes MAC Protocol for WSN & MANET and Routing Protocols in Wireless Sensor Network. Chapter 7 and Chapter 8, give the brief introduction of Transport Control Protocols for WSN and different Middleware’s for WSN. Chapter 9 and Chapter 10 give brief Concept of Cloud Computing with WSN and Data Transmission over the WSN. Finally, this book includes un-solved problems, exercise and list of projects that are useful for both graduate and post-graduate students.
The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.
Book Synopsis Soft Computing and Signal Processing by : Jiacun Wang
Download or read book Soft Computing and Signal Processing written by Jiacun Wang and published by Springer. This book was released on 2019-02-13 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.
This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.
Book Synopsis Proceedings of the Third International Conference on Computational Intelligence and Informatics by : K. Srujan Raju
Download or read book Proceedings of the Third International Conference on Computational Intelligence and Informatics written by K. Srujan Raju and published by Springer Nature. This book was released on 2020-03-17 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.
This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter author endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in these fields. This carefully edited book covers a wide range of new applications of soft computing techniques in Web recommender systems, Online documents classification, Online documents summarization, Online document clustering, Online market intelligence, Web usage profiling, Web data extraction, Social network extraction, Question answering systems, Online health care, Web knowledge management, Multimedia information retrieval, Navigation guides, User profiles extraction, Web-based distributed information systems, Web security applications, Internet of Things Applications and so on. The book is aimed for researchers and practitioner who are engaged in developing and applying intelligent systems principles for solving real-life problems. Further, it has been structured so that each chapter can be read independently of the others.
Book Synopsis Applications of Soft Computing for the Web by : Rashid Ali
Download or read book Applications of Soft Computing for the Web written by Rashid Ali and published by Springer. This book was released on 2018-01-08 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter author endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in these fields. This carefully edited book covers a wide range of new applications of soft computing techniques in Web recommender systems, Online documents classification, Online documents summarization, Online document clustering, Online market intelligence, Web usage profiling, Web data extraction, Social network extraction, Question answering systems, Online health care, Web knowledge management, Multimedia information retrieval, Navigation guides, User profiles extraction, Web-based distributed information systems, Web security applications, Internet of Things Applications and so on. The book is aimed for researchers and practitioner who are engaged in developing and applying intelligent systems principles for solving real-life problems. Further, it has been structured so that each chapter can be read independently of the others.
This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.
Book Synopsis Applied Soft Computing and Communication Networks by : Sabu M. Thampi
Download or read book Applied Soft Computing and Communication Networks written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-30 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.
Energy Management in Wireless Sensor Networks discusses this unavoidable issue in the application of Wireless Sensor Networks (WSN). To guarantee efficiency and durability in a network, the science must go beyond hardware solutions and seek alternative software solutions that allow for better data control from the source to delivery. Data transfer must obey different routing protocols, depending on the application type and network architecture. The correct protocol should allow for fluid information flow, as well as optimizing power consumption and resources – a challenge faced by dense networks. The topics covered in this book provide answers to these needs by introducing and exploring computer-based tools and protocol strategies for low power consumption and the implementation of routing mechanisms which include several levels of intervention, ranging from deployment to network operation. Explores ways to manage energy consumption during the design and implementation of WSN Helps users implement an increase in network longevity Presents intrinsic characteristics of wireless sensor networks
Book Synopsis Energy Management in Wireless Sensor Networks by : Youcef Touati
Download or read book Energy Management in Wireless Sensor Networks written by Youcef Touati and published by Elsevier. This book was released on 2017-03-29 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Management in Wireless Sensor Networks discusses this unavoidable issue in the application of Wireless Sensor Networks (WSN). To guarantee efficiency and durability in a network, the science must go beyond hardware solutions and seek alternative software solutions that allow for better data control from the source to delivery. Data transfer must obey different routing protocols, depending on the application type and network architecture. The correct protocol should allow for fluid information flow, as well as optimizing power consumption and resources – a challenge faced by dense networks. The topics covered in this book provide answers to these needs by introducing and exploring computer-based tools and protocol strategies for low power consumption and the implementation of routing mechanisms which include several levels of intervention, ranging from deployment to network operation. Explores ways to manage energy consumption during the design and implementation of WSN Helps users implement an increase in network longevity Presents intrinsic characteristics of wireless sensor networks
