Clustering And Routing Algorithms For Wireless Sensor Networks
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Clustering And Routing Algorithms For Wireless Sensor Networks
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Author : Pratyay Kuila
language : en
Publisher: CRC Press
Release Date : 2017-09-22
Clustering And Routing Algorithms For Wireless Sensor Networks written by Pratyay Kuila and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Computers categories.
Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions.
Artificial Intelligence For Renewable Energy Systems
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Author : Ajay Kumar Vyas
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02
Artificial Intelligence For Renewable Energy Systems written by Ajay Kumar Vyas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-02 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
Clustering And Routing Algorithms For Wireless Sensor Networks
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Author : Pratyay Kuila
language : en
Publisher: CRC Press
Release Date : 2017-09-22
Clustering And Routing Algorithms For Wireless Sensor Networks written by Pratyay Kuila and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Technology & Engineering categories.
Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions.
Swarm Intelligence Optimization
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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-07
Swarm Intelligence Optimization written by Abhishek Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-07 with Computers categories.
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.
Qos Routing Algorithms For Wireless Sensor Networks
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Author : K. R. Venugopal
language : en
Publisher: Springer Nature
Release Date : 2020-02-28
Qos Routing Algorithms For Wireless Sensor Networks written by K. R. Venugopal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.
This book provides a systematic introduction to the fundamental concepts, major challenges, and effective solutions for Quality of Service in Wireless Sensor Networks (WSNs). Unlike other books on the topic, it focuses on the networking aspects of WSNs, discussing the most important networking issues, including network architecture design, medium access control, routing and data dissemination, node clustering, node localization, query processing, data aggregation, transport and quality of service, time synchronization, and network security. Featuring contributions from researchers, this book strikes a balance between fundamental concepts and new technologies, providing readers with unprecedented insights into WSNs from a networking perspective. It is essential reading for a broad audience, including academics, research engineers, and practitioners, particularly postgraduate/postdoctoral researchers and engineers in industry. It is also suitable as a textbook or supplementary reading for graduate computer engineering and computer science courses.
Smart Computing Paradigms New Progresses And Challenges
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Author : Atilla Elçi
language : en
Publisher: Springer
Release Date : 2019-12-01
Smart Computing Paradigms New Progresses And Challenges written by Atilla Elçi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-01 with Technology & Engineering categories.
This two-volume book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. It brings together contributions from scientists, professors, scholars and students, and presents essential information on computing, networking, and informatics. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research, and of applied research into practice. The works presented here will also demonstrate the importance of basic scientific research in a range of fields.
Wireless Sensor Networks
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Author : Neetika Bairwa
language : en
Publisher: Mohd Abdul Hafi
Release Date : 2024-02-26
Wireless Sensor Networks written by Neetika Bairwa and has been published by Mohd Abdul Hafi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.
In recent years, wireless sensor networks (WSNs) have developed as a potentially useful technology for a wide variety of purposes, from surveillance to environmental monitoring. Wireless sensor networks are networks of tiny, low-power sensor nodes that can collect, analyze, and transmit data wirelessly. To gather information about their environments, these nodes generally have sensors like temperature, humidity, and motion detectors. The limited energy and computing resources of the sensor nodes are a significant barrier to WSNs. Since sensor nodes have limited energy capabilities due to their tiny size and dependency on batteries, energy efficiency is a crucial factor in WSN design. In order to keep WSNs up and running for as long as possible, it is essential that their lifespan be maximized while their energy consumption is kept to a minimum (Akyildiz et al., 2002). Many other energy-saving methods and procedures for WSNs have been offered by scientists as potential solutions to these problems. The goal of these methods is to reduce power consumption across the board, from individual sensor nodes to the network as a whole. In order to decrease the amount of energy needed to transmit data between sensor nodes, many clustering algorithms have been developed. Clustering is often employed in WSNs to increase scalability, decrease energy consumption, and consolidate data (Heinzelman et al., 2000). Clustering is a method for grouping sensor nodes, with the cluster head (CH) of each cluster being in charge of coordinating the work of the other nodes in the cluster (Heinzelman et al., 2002). The cluster heads gather, analyze, and send data from their clusters to the base station (BS), which helps save power and extend the life of the network.
Wireless Sensor Networks
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Author : Damodar Reddy Edla
language : en
Publisher: CRC Press
Release Date : 2020-11-23
Wireless Sensor Networks written by Damodar Reddy Edla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Computers categories.
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.
Wireless Sensor Networks
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Author : Philip John Sallis
language : en
Publisher: BoD – Books on Demand
Release Date : 2017-10-04
Wireless Sensor Networks written by Philip John Sallis and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-04 with Computers categories.
Wireless sensor networks (WSNs) have emerged as a phenomenon of the twenty-first century with numerous kinds of sensor being developed for specific applications. The origins of WSNs can, however, be traced back to the early days of connectivity between computers and their peripherals. Work with distributed sensor networks is evidenced in the literature during the latter part of the 1970s, continuing in functionality increases in the 1980s and 1990s. As a configuration of independent devices in a data communications network, WSNs are now pre-eminent as working solutions to numerous precision data collection situations where software control of instruments and routing protocols are needed. In this book, the authors have chosen a selection of specific topics relating to WSNs: their design, development, implementation and function. Some operating topics are addressed such as power management, data interchange protocols, instrument reliability and system security. Other topics are more application oriented, where particular hardware and software configurations are described to deliver system solutions for specific needs. All are clearly written with considerable detail relating to each of the issues addressed by the authors. Each of the chapters provides a rationale for the topic being covered and some general WSN details where appropriate. The citations used in the chapters are comprehensively referred to, which adds depth to the information being presented.
Machine Learning And Deep Learning Techniques In Wireless And Mobile Networking Systems
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Author : K. Suganthi
language : en
Publisher: CRC Press
Release Date : 2021-09-13
Machine Learning And Deep Learning Techniques In Wireless And Mobile Networking Systems written by K. Suganthi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-13 with Computers categories.
This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.