Management Of Sensor Network Using Dynamic Subgraph Mining

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Dynamic Wireless Sensor Networks

Author : Mohamed Elhoseny,Aboul Ella Hassanien
Publisher : Springer
Page : 191 pages
File Size : 47,8 Mb
Release : 2018-05-25
Category : Technology & Engineering
ISBN : 9783319928074

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Dynamic Wireless Sensor Networks by Mohamed Elhoseny,Aboul Ella Hassanien Pdf

This book provides a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of dynamic wireless sensor networks (WSNs) for intelligent and smart applications in a variety of environments. It presents the most central concepts associated with Dynamic Wireless Sensor Networks applications, and discusses issues surrounding Wireless Sensor Network Structures for complex and mobile-based applications. The book subsequently discusses several topics related to energy management in dynamic WSNs, and reviews the steps involved in building a secure and trusted data transmission model using the WSN applications of intelligent environments. Lastly, it discusses the applications of WSNs in live data systems such as SCADA systems. Readers will discover a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of WSNs for intelligent real-life applications. In addition, the book presents original research on the application of a dynamic WSN to solve the problem of energy consumption in a secure WSN during the process of data aggregation and transmission. Written by respected experts in the field, the book will stimulate further efforts in the application of the intelligent WSNs model, helping to solve the problem of data processing in a limited resource WSN-based environment.

Data Mining Techniques in Sensor Networks

Author : Annalisa Appice,Anna Ciampi,Fabio Fumarola,Donato Malerba
Publisher : Springer Science & Business Media
Page : 105 pages
File Size : 44,6 Mb
Release : 2013-09-12
Category : Computers
ISBN : 9781447154549

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Data Mining Techniques in Sensor Networks by Annalisa Appice,Anna Ciampi,Fabio Fumarola,Donato Malerba Pdf

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.

Handbook On Sensor Networks

Author : Xiao Yang,Chen Hui,Li Frank Haizhon
Publisher : World Scientific
Page : 912 pages
File Size : 53,8 Mb
Release : 2010-08-30
Category : Electronic
ISBN : 9789814469128

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Handbook On Sensor Networks by Xiao Yang,Chen Hui,Li Frank Haizhon Pdf

Sensor networks have many interesting applications with great utility; however, their actually deployment and realization rely on continuous innovations and solutions to many challenging problems. Thus, sensor networks have recently attracted the attention of many researchers and practitioners. The compilation of the Handbook on Sensor Networks will meet the demand of the sensor network community for a comprehensive reference and summary of the current state of the area.The Handbook on Sensor Networks is a collection of approximately 40 chapters on sensor network theory and applications. The book spans a wide spectrum and includes topics in medium access control, routing, security and privacy, coverage and connectivity, modeling and simulations, multimedia, energy efficiency, localization and tracking, design and implementation, as well as sensor network applications.

Data Mining: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2120 pages
File Size : 42,9 Mb
Release : 2012-11-30
Category : Computers
ISBN : 9781466624566

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Data Mining: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Cognitive Radio Sensor Networks: Applications, Architectures, and Challenges

Author : Rehmani, Mubashir Husain
Publisher : IGI Global
Page : 313 pages
File Size : 49,7 Mb
Release : 2014-06-30
Category : Technology & Engineering
ISBN : 9781466662131

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Cognitive Radio Sensor Networks: Applications, Architectures, and Challenges by Rehmani, Mubashir Husain Pdf

"This book examines how wireless sensor nodes with cognitive radio capabilities can address these network challenges and improve the spectrum utilization, presenting a broader picture on the applications, architecture, challenges, and open research directions in the area of WSN research"--Provided by publisher.

Intelligent Techniques for Warehousing and Mining Sensor Network Data

Author : Cuzzocrea, Alfredo
Publisher : IGI Global
Page : 424 pages
File Size : 52,6 Mb
Release : 2009-12-31
Category : Computers
ISBN : 9781605663296

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Intelligent Techniques for Warehousing and Mining Sensor Network Data by Cuzzocrea, Alfredo Pdf

"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.

Sensor Network Operations

Author : Shashi Phoha,Thomas F. La Porta,Christopher Griffin
Publisher : Wiley-IEEE Press
Page : 448 pages
File Size : 46,7 Mb
Release : 2006-03-24
Category : Technology & Engineering
ISBN : 9780471784166

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Sensor Network Operations by Shashi Phoha,Thomas F. La Porta,Christopher Griffin Pdf

This excellent title introduces the concept of mission-oriented sensor networks as distributed dynamic systems of interacting sensing devices that are networked to jointly execute complex real-time missions under uncertainity. It provides the latest, yet unpublished results on the main technical and application challenges of mission-oriented sensor networks. The authors of each chapter are research leaders from multiple disciplines who are presenting their latest innovations on the issues. Together, the editors have compiled a comprehensive treatment of the subject that flows smoothly from chapter to chapter. This interdisciplinary approach significantly enhances the science and technology knowledge base and influences the military and civilian applications of this field. Author Information: Dr. Shashi Phoha is the Guest Editor of IEEE Transactions in Mobile Computing, Special Issue on Mission-Oriented Sensor Networks. She is the Head of the Information Sciences and Technology Division of ARL and Professor of Electrical and Computer Engineering at Pennsylvania State University. She has led major research programs of multimillion dollars for military sensor networks in industry as well as in academia. In addition to more than a hundred journal articles, she authored or co-authored several books in related areas. Dr. Thomas La Porta is the Editor of the IEEE Transactions on Mobile Computing. He received his B.S.E.E. and M.S.E.E. degrees from The Cooper Union, New York, NY and his Ph.D. degree in Electrical Engineering from Columbia University, New York, NY. He joined the Computer Science and Engineering Department at Penn State in 2002 as a Full Professor. He is Director of the Networking Research Center at Penn State. Prior to joining Penn State, Dr. LaPorta was with Bell Laboratories since 1986. He was the Director of the Mobile Networking Research Department Bell Laboratories, Lucent Technologies, where he led various projects in wireless and mobile networking. He is an IEEE Fellow, Bell Labs Fellow, received the Bell Labs Distinguished Technical Staff Award, and an Eta Kappa Nu Outstanding Young Electrical Engineer Award. He has published over 50 technical papers and holds over 20 patents. Christopher Griffin holds a Masters degree in Mathematics from Penn State and is currently pursuing his Ph.D. there. Mr. Griffin has worked as a research engineer at the Penn State Applied Research Laboratory for the last six years on several DARPA and or Army Research Laboratory sponsored programs, including: the Emergent Surveillance Plexus (ESP) program as a lead engineer; the DARPA sponsored Semantic Information Fusion program under the SensIT initiative, where he co-developed a distributed target tracking system and managed the development of a target classification algorithm using Level 1 sensor fusion techniques; as a co-principal software architect for the DARPA Joint Force Component Controller (JFACC) initiative, an adaptive C2 program aimed at improving Air Force response times; and he was the principal software architect for the Boeing/ARFL Insertion of Embedding Infosphere Technology (IEIST) program. His areas of research expertise are distributed tracking systems, mission oriented control, and system modeling.

Learning from Data Streams

Author : João Gama,Mohamed Medhat Gaber
Publisher : Springer Science & Business Media
Page : 486 pages
File Size : 51,6 Mb
Release : 2007-10-11
Category : Computers
ISBN : 9783540736783

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Learning from Data Streams by João Gama,Mohamed Medhat Gaber Pdf

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.

Resource Management for Energy and Spectrum Harvesting Sensor Networks

Author : Deyu Zhang,Zhigang Chen,Haibo Zhou,Xuemin (Sherman) Shen
Publisher : Springer
Page : 79 pages
File Size : 42,5 Mb
Release : 2017-03-08
Category : Technology & Engineering
ISBN : 9783319537719

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Resource Management for Energy and Spectrum Harvesting Sensor Networks by Deyu Zhang,Zhigang Chen,Haibo Zhou,Xuemin (Sherman) Shen Pdf

This SpringerBrief offers a comprehensive review and in-depth discussion of the current research on resource management. The authors explain how to best utilize harvested energy and temporally available licensed spectrum. Throughout the brief, the primary focus is energy and spectrum harvesting sensor networks (ESHNs) including energy harvesting (EH)-powered spectrum sensing and dynamic spectrum access. To efficiently collect data through the available licensed spectrum, this brief examines the joint management of energy and spectrum. An EH-powered spectrum sensing and management scheme for Heterogeneous Spectrum Harvesting Sensor Networks (HSHSNs) is presented in this brief. The scheme dynamically schedules the data sensing and spectrum access of sensors in ESHSNs to optimize the network utility, while considering the stochastic nature of EH process, PU activities and channel conditions. This brief also provides useful insights for the practical resource management scheme design for ESHSNs and motivates a new line of thinking for future sensor networking. Professionals, researchers, and advanced-level students in electrical or computer engineering will find the content valuable.

Algorithmic Aspects of Wireless Sensor Networks

Author : Sotiris Nikoletseas
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 46,7 Mb
Release : 2004-07-07
Category : Computers
ISBN : 9783540224761

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Algorithmic Aspects of Wireless Sensor Networks by Sotiris Nikoletseas Pdf

This book constitutes the reviewed proceedings of the First International Workshop on Algorithmic Aspects of Wireless Sensor Networks, ALGOSENSORS 2004, held in Turku, Finland in July 2004, in association with ICALP 2004. The 15 revised full papers presented together with abstracts of two invited papers were carefully reviewed and selected from 40 submissions. Among the topics addressed are sensor network modeling, algorithms for sensor localization, dynamic sensor networks, sensor network architectures, attribute-based named networks, routing, communication protocols, access control in sensor networks, sensor architecture, and energy consumption issues.

Managing and Mining Sensor Data

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 48,6 Mb
Release : 2013-01-15
Category : Computers
ISBN : 9781461463092

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Managing and Mining Sensor Data by Charu C. Aggarwal Pdf

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.

Data Mining

Author : Jiawei Han,Jian Pei,Hanghang Tong
Publisher : Morgan Kaufmann
Page : 786 pages
File Size : 46,9 Mb
Release : 2022-07-02
Category : Computers
ISBN : 9780128117613

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Data Mining by Jiawei Han,Jian Pei,Hanghang Tong Pdf

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data

Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

Author : Mao, Guoqiang,Fidan, Baris
Publisher : IGI Global
Page : 526 pages
File Size : 46,7 Mb
Release : 2009-05-31
Category : Computers
ISBN : 9781605663975

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Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking by Mao, Guoqiang,Fidan, Baris Pdf

Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.

Wireless Sensor Networks. Routing Protocol Overview

Author : Madhumathy Perumal,R. Umamaheswari
Publisher : Unknown
Page : 92 pages
File Size : 41,6 Mb
Release : 2020-11-27
Category : Electronic
ISBN : 3346315576

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Wireless Sensor Networks. Routing Protocol Overview by Madhumathy Perumal,R. Umamaheswari Pdf

Document from the year 2020 in the subject Engineering - Computer Engineering, language: English, abstract: Sensor nodes have restricted storage, computational and energy resources, these restrictions place a limit on the types of deployable routing mechanisms. Routing protocol disseminates information that enables the sensor nodes to select routes to communicate with other nodes on the network and the choice of the route is determined by the routing algorithms. Thus the routing protocol helps the nodes to gain knowledge about the topology of the network to which it is attached directly. There are mainly two types of routing processes: one is static routing and the other is dynamic routing. In a static routing, the routing tables are set up in a static manner in the nodes. The network routes for the packet are initially set between the nodes. However, if any node on the specified route fails, the data may not reach the destination. In a dynamic routing, routing tables in the routers often change whenever the possible routes change. Dynamic routing is more suitable as the nodes in WSNs may frequently change their position and die at any moment. The routing protocols are classified into single hop and multi hop routing. In a single hop routing, sensor node directly communicates with the sink to share the gathered information. Energy consumption is high in the network using single hop protocol. In multi hop routing, data is routed through the intermediate nodes to the base station. Each node transfers sensed data to the immediate node which in turn transfers the data to the next immediate node and finally the data reaches the base station. Energy consumption in this kind of routing protocol is less and thus the lifetime of the nodes is high. The major challenge to the efficient operation of wireless sensor network lies in its ability to deliver the sensed information from the nodes to the sink within the specific time duration without the loss of data packets

Managing and Mining Sensor Data

Author : Charu Aggarwal
Publisher : Springer
Page : 534 pages
File Size : 42,7 Mb
Release : 2013-01-15
Category : Computers
ISBN : 1461463106

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Managing and Mining Sensor Data by Charu Aggarwal Pdf

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.