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Book MACHINE LEARNING FOR ENVIRONMENTAL MONITORING IN WIRELESS SENSOR NETWORKS

Download or read book MACHINE LEARNING FOR ENVIRONMENTAL MONITORING IN WIRELESS SENSOR NETWORKS written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks

Download or read book Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks written by Sagayam, K. Martin and published by IGI Global. This book was released on 2020-06-12 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.

Book Evolutionary Computing and Mobile Sustainable Networks

Download or read book Evolutionary Computing and Mobile Sustainable Networks written by V. Suma and published by Springer Nature. This book was released on 2020-07-31 with total page 975 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2020), held at the Sir M. Visvesvaraya Institute of Technology on 20–21 February 2020. Discussing advances in evolutionary computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted descriptors for mobile sustainable networks virtualization, optimization and automation, this book is a valuable resource for researchers in the field of evolutionary computing and mobile sustainable networks.

Book Smart Sensor Networks

    Book Details:
  • Author : Umang Singh
  • Publisher : Springer Nature
  • Release : 2021-09-01
  • ISBN : 3030772144
  • Pages : 233 pages

Download or read book Smart Sensor Networks written by Umang Singh and published by Springer Nature. This book was released on 2021-09-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.

Book Information Processing in Sensor Networks

Download or read book Information Processing in Sensor Networks written by Feng Zhao and published by Springer. This book was released on 2003-08-03 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN 2003). The workshop was held at the Palo Alto Research Center (PARC), Palo Alto, California, on April 22–23, 2003. Informationprocessinginsensornetworksisaninterdisciplinaryresearcharea with deep connections to signal processing, networking and protocols, databases and information management, as well as distributed algorithms. Because of - vances in MEMS microsensors, wireless networking, and embedded processing, ad hoc networks of sensors are becoming increasingly available for commercial andmilitaryapplicationssuchasenvironmentalmonitoring(e.g.,tra?c,habitat, security), industrial sensing and diagnostics (e.g., factories, appliances), inf- structure maintenance (e.g., power grids, water distribution, waste disposal), and battle?eld awareness (e.g., multitarget tracking). From the engineering and computing point of view, sensor networks have become a rich source of problems in communication protocols, sensor tasking and control, sensor fusion, distributed databases and algorithms, probabilistic reasoning, system/software architecture, design methodologies, and evaluation metrics. This workshop took a systemic approach to address crosslayer issues, from the physical sensor layer to the sensor signal processing and networking levels and then all the way to the applications. Following the successful 1st Workshop on Collaborative Signal and Inf- mation Processing in Sensor Networks at PARC in 2001, this new workshop brought together researchers from academia, industry, and government to p- sent and discuss recent work concerning various aspects of sensor networks such as information organization, querying, routing, and self-organization, with an emphasis on the high-level information processing tasks that these networks are designed to perform.

Book Real Time Environmental Monitoring

Download or read book Real Time Environmental Monitoring written by Miguel F. Acevedo and published by CRC Press. This book was released on 2023-09-29 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizes real-time monitoring as an emerging area for environmental assessment and compliance and covers the fundamentals on how to develop sensors and systems Presents several entirely new topics not featured in the first edition, including remote sensing and GIS, machine learning, weather radar and satellites, groundwater monitoring, spatial analysis, and habitat monitoring Includes applications to many environmental and ecological systems Uses a practical, hands-on approach with the addition of an accompanying lab manual, which students can use to deepen their understanding, based on the author’s 40 years of academic experience

Book Tides  Surges and Mean Sea Level

Download or read book Tides Surges and Mean Sea Level written by D. T. Pugh and published by . This book was released on 1987-12-28 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to present modern tidal ideas to those who are not tidal specialists, but for whom some knowledge of tides is involved in their professional or scientific field. These include hydrographers, marine and coastal engineers, geologists who specialize in beach or marine sedimentation processes, and biologists concerned with the ways in which living organisms adapt to the rhythms of the sea. Modern practical studies are concerned with problems of marine transport, coastal erosion and the design of coastal defences against flooding. Interest in mean sea-level changes has recently been focused on the possibility of significant increases over the coming century as a result of global warming. Examples of applications from North America, Europe and other parts of the world are included.

Book Intelligent Environmental Sensing

Download or read book Intelligent Environmental Sensing written by Henry Leung and published by Springer. This book was released on 2015-01-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing environmental sensing and monitoring technologies become essential especially for industries that may cause severe contamination. Intelligent environmental sensing uses novel sensor techniques, intelligent signal and data processing algorithms, and wireless sensor networks to enhance environmental sensing and monitoring. It finds applications in many environmental problems such as oil and gas, water quality, and agriculture. This book addresses issues related to three main approaches to intelligent environmental sensing and discusses their latest technological developments. Key contents of the book include: Agricultural monitoring Classification, detection, and estimation Data fusion Geological monitoring Motor monitoring Multi-sensor systems Oil reservoirs monitoring Sensor motes Water quality monitoring Wireless sensor network protocol.

Book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Book Fundamentals of Wireless Sensor Networks

Download or read book Fundamentals of Wireless Sensor Networks written by Waltenegus Dargie and published by John Wiley & Sons. This book was released on 2010-11-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors describe the fundamental concepts and practical aspects of wireless sensor networks. The book provides a comprehensive view to this rapidly evolving field, including its many novel applications, ranging from protecting civil infrastructure to pervasive health monitoring. Using detailed examples and illustrations, this book provides an inside track on the current state of the technology. The book is divided into three parts. In Part I, several node architectures, applications and operating systems are discussed. In Part II, the basic architectural frameworks, including the key building blocks required for constructing large-scale, energy-efficient sensor networks are presented. In Part III, the challenges and approaches pertaining to local and global management strategies are presented – this includes topics on power management, sensor node localization, time synchronization, and security. At the end of each chapter, the authors provide practical exercises to help students strengthen their grip on the subject. There are more than 200 exercises altogether. Key Features: Offers a comprehensive introduction to the theoretical and practical concepts pertaining to wireless sensor networks Explains the constraints and challenges of wireless sensor network design; and discusses the most promising solutions Provides an in-depth treatment of the most critical technologies for sensor network communications, power management, security, and programming Reviews the latest research results in sensor network design, and demonstrates how the individual components fit together to build complex sensing systems for a variety of application scenarios Includes an accompanying website containing solutions to exercises (http://www.wiley.com/go/dargie_fundamentals) This book serves as an introductory text to the field of wireless sensor networks at both graduate and advanced undergraduate level, but it will also appeal to researchers and practitioners wishing to learn about sensor network technologies and their application areas, including environmental monitoring, protection of civil infrastructure, health care, precision agriculture, traffic control, and homeland security.

Book Proceedings of the 11th International Mine Ventilation Congress

Download or read book Proceedings of the 11th International Mine Ventilation Congress written by Xintan Chang and published by Springer. This book was released on 2018-08-03 with total page 1072 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the 11th International Mine Ventilation Congress (11th IMVC), is focused on mine ventilation, health and safety and Earth science. The IMVC has become the most influential international mine ventilation event in the world, and has long been a popular forum for ventilation researchers, practitioners, academics, equipment manufacturers and suppliers, consultants and government officials around the globe to explore research results, exchange best practices, and to launch new products for a better and safer industry. It also serves as a useful platform to attract and train future ventilation professionals and mine planning engineers, as well as for mining companies to discover better practices to provide better ventilation planning.

Book Advances in Distributed Computing and Machine Learning

Download or read book Advances in Distributed Computing and Machine Learning written by Rashmi Ranjan Rout and published by Springer Nature. This book was released on 2022-07-27 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Book Wireless Sensor Networks and Ecological Monitoring

Download or read book Wireless Sensor Networks and Ecological Monitoring written by Subhas C Mukhopadhyay and published by Springer Science & Business Media. This book was released on 2013-02-11 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art technologies and solutions to tackle the critical challenges faced by the building and development of the WSN and ecological monitoring system but also potential impact on society at social, medical and technological level. This book is dedicated to Sensing systems for Sensors, Wireless Sensor Networks and Ecological Monitoring. The book aims at Master and PhD degree students, researchers, practitioners, especially WSN engineers involved with ecological monitoring. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

Book A Secured Wireless Sensor Network System

Download or read book A Secured Wireless Sensor Network System written by Dr. O.P. Uma Maheswari and published by True Dreamster Press. This book was released on 2024-05-06 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks (WSNs) are being used in a wide variety of critical applications such as military and healthcare applications, agriculture, and industrial process monitoring. WSN has several advantages including easy installation, cost-effectiveness, small size, and low power consumption. In recent years, the demand for environmental monitoring and remote control in agriculture has been rapidly growing. Typically, sensors in the agriculture fields will gather, soil, weather, crop, water level, and moisture level for soil fertility detection, fire detection, irrigation detection, and flood detection in the future and to take action robustly to increase and safeguard the crop productivity.

Book Energy Efficient Wireless Sensor Networks

Download or read book Energy Efficient Wireless Sensor Networks written by Vidushi Sharma and published by CRC Press. This book was released on 2017-07-28 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs). One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network applications.

Book Machine Learning for Environmental Noise Classification in Smart Cities

Download or read book Machine Learning for Environmental Noise Classification in Smart Cities written by Ali Othman Albaji and published by Springer Nature. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book IoT and WSN based Smart Cities  A Machine Learning Perspective

Download or read book IoT and WSN based Smart Cities A Machine Learning Perspective written by Shalli Rani and published by Springer Nature. This book was released on 2022-05-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.