Data Mining Techniques in Sensor Networks PDF Download

Author: Annalisa Appice
Publisher: Springer Science & Business Media
ISBN: 1447154541
Category : Computers
Languages : en
Pages : 105

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Book Description
Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. The server monitors the data, issues possible alarms and computes fast aggregates. As data analysis requests may concern both present and past data, the server is forced to store the entire stream. But the limited storage capacity of a server may reduce the amount of data stored on the disk. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data. This work introduces a recently defined spatio-temporal pattern, called trend cluster, to summarize, interpolate and identify anomalies in a sensor network. As an example, the application of trend cluster discovery to monitor the efficiency of photovoltaic power plants is discussed. The work closes with remarks on new possibilities for surveillance enabled by recent developments in sensing technology.

Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 1461463092
Category : Computers
Languages : en
Pages : 547

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Book Description
Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Author: João Gama
Publisher: Springer Science & Business Media
ISBN: 3540736786
Category : Computers
Languages : en
Pages : 486

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Book Description
Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.

Author: Cuzzocrea, Alfredo
Publisher: IGI Global
ISBN: 1605663298
Category : Computers
Languages : en
Pages : 424

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Book Description
"This book focuses on the relevant research theme of warehousing and mining sensor network data, specifically for the database, data warehousing and data mining research communities"--Provided by publisher.

Author: Auroop R. Ganguly
Publisher: CRC Press
ISBN: 9781420082333
Category : Computers
Languages : en
Pages : 215

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Book Description
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799824551
Category : Technology & Engineering
Languages : en
Pages : 1618

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Book Description
Collecting and processing data is a necessary aspect of living in a technologically advanced society. Whether it’s monitoring events, controlling different variables, or using decision-making applications, it is important to have a system that is both inexpensive and capable of coping with high amounts of data. As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness as well as other opportunities for possible implementation in the future. Sensor Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that brings together new ways to process and monitor data and to put it to work in everything from intelligent transportation systems to healthcare to multimedia applications. It also provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Highlighting a range of topics such as internet of things, signal processing hardware, and wireless sensor technologies, this multi-volume book is ideally designed for research and development engineers, IT specialists, developers, graduate students, academics, and researchers.

Author: Dhruba K. Bhattacharyya
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 252

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Book Description
Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging topics in AI. Various routing and security issues in WSN are dealt in Sections I and II. These two sections discuss Congestion control in wireless environment, signal interference between WLAN & LR-WPAN and its avoidance and Quality of service routing in MANETs. Section III covers significant contributions on design of efficient clustering algorithms for categorical and mixed data types. This section includes an exhaustive survey on data clustering techniques. Section IV includes a probabilistic model for off-line handwritten Manipuri character recognition and a method for acquisition of morphological features of Assamese language. A soft computing technique for colour and texture discrimination for the tea industry is also discussed. This section also includes a method for fast computation of Legendre moments.

Author: Joao Gama
Publisher: CRC Press
ISBN: 1439826129
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents

Author: Padmalaya Nayak
Publisher: Springer Nature
ISBN: 9811629196
Category : Technology & Engineering
Languages : en
Pages : 502

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Book Description
This book includes high-quality research papers presented at the 1st International Conference on Wireless Sensor Networks, Ubiquitous Computing and Applications (ICWSNUCA, 2021), which is held at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India, during 26–27 February, 2021. This volume focuses on the applications, use-cases, architectures, deployments, and recent advances of wireless sensor networks as well as ubiquious computing. Different research topics are illustrated in this book, like wireless sensor networks for the Internet of Things; IoT applications for eHealth; smart cities; architectures for WSNs and IoT, WSNs hardware and new devices; low-power wireless technologies; wireless ad hoc sensor networks; routing and data transfer in WSNs; multicast communication in WSNs; security management in WSNs and in IoT systems; and power consumption optimization in WSNs.

Author: Pradeep Kumar Singh
Publisher: Springer Nature
ISBN: 303040305X
Category : Technology & Engineering
Languages : en
Pages : 722

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Book Description
This book explores various challenging problems and applications areas of wireless sensor networks (WSNs), and identifies the current issues and future research challenges. Discussing the latest developments and advances, it covers all aspects of in WSNs, from architecture to protocols design, and from algorithm development to synchronization issues. As such the book is an essential reference resource for undergraduate and postgraduate students as well as scholars and academics working in the field.