Distributed Sensor Networks

Distributed systems are a continuously expanding area of computer science and computer engineering. This book addresses the need for literature on modeling and simulation techniques for distributed sy

"Distributed Intelligent Systems: A Coordination Perspective" addresses and comprehensively answers commonly asked questions about coordination in agent-oriented distributed systems. This edited volu

An introduction to theories and applications in wireless broadband networks As wireless broadband networks evolve into future generation wireless networks, it's important for students, researchers, a

How to solve security issues and problems arising in distributed systems.Security is one of the leading concerns in developing dependable distributed systems of today, since the integration of differe

This book constitutes the refereed proceedings of the IFIP Conference on Wireless Sensors and Actor Networks held in Ottawa, Canada, July, 2008.This?series publishes state-of-the-art results in the sc

This is the first self-contained text to consider security and non-cooperative behavior in wireless networks. Major networking trends are analyzed and their implications explained in terms of security and cooperation, and potential malicious and selfish misdeeds are described along with the existing and future security techniques. Fundamental questions of security including user and device identification; establishment of security association; secure and cooperative routing in multi-hop networks; fair bandwidth distribution; and privacy protection are approached from a theoretical perspective and supported by real-world examples including ad hoc, mesh, vehicular, sensor, and RFID networks. Important relationships between trust, security, and cooperation are also discussed. Contains homework problems and tutorials on cryptography and game theory. This text is suitable for advanced undergraduates and graduate students of electrical engineering and computer science, and researchers and pr

Electrochemical Sensor Analysis (ECSA) presents the recent advances in electrochemical (bio)sensors and their practical applications in real clinical, environment, food and industry related samples, a

Distributed processing has a strong theoretical foundation, but many day-to-day practitioners make limited use of the advantages this theory can give them. The result includes unreliable systems with

James Spillane, the leading expert in Distributed Leadership, shows how leadership happens in everyday practices in schools, through formal routines and informal interactions. He examines the distrib

This informative monograph helps meet the challenge of applying distributed control to dynamical systems. It shows readers how to bring the best parts of various control paradigms to bear in making d

Going Virtual: Distributed Communities of Practice contributes to the understanding of how more subtle kinds of knowledge can be managed in a distributed international environment. It describes academ

Intrusion Detection In Distributed Systems: An Abstraction-Based Approach presents research contributions in three areas with respect to intrusion detection in distributed systems. The first contribut

Barnaby describes how to use the new .NET technologies to build fast, scalable, and robust distributed applications.

Large and complex software systems, such as Internet applications, depend on distributed applications. Although Java has helped reduce the complexity of distributed systems, developers still have to c

An all-inclusive survey of the fundamentals of parallel and distributed computing. The use of parallel and distributed computing has increased dramatically over the past few years, giving rise to a va

The pay-offs for creating distributed applications are in achieving portability, scalability and fault-tolerance. In order to simplify building software that performs robustly regardless of platform o

A state-of-the-art guide for the implementation of distributed simulation technology.The rapid expansion of the Internet and commodity parallel computers has made parallel and distributed simulation (

On the basis that only distributed hydrological models can provide an analysis of the wide-ranging data that best acquits an engineer's obligation to a client, explains the basic principles, a variety

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Distributed Ledger Technology (DLT) is a way of managing, storing, and sharing information over a distributed network. The position of DLT in banking can be seen as controversial as it is a rapidly evolving technology with both potential benefits and challenges. The Role of Distributed Ledger Technology in Banking presents a balanced assessment of both the opportunities and risks behind such recent innovations. Combining theory and practice, it explores the impact of DLT in the banking sector and offers the opportunity to exploit different points of view from different disciplines. It presents topics from both a theoretical and practical point of view, highlighting concrete applications. Written by a team of experts from academia and the banking sector, this book looks at DLT not as a threat but as an exciting opportunity to bring the banking/financial system in the future.

Discover the fundamental characteristics of ultra-dense networks with this comprehensive text. Featuring a consistent mathematical description of ultra-dense small cell networks while also covering real-world issues such as network deployment, operation and optimization, this book investigates performance metrics of coverage probability and area spectral efficiency (ASE) and addresses the aspects of ultra-dense networks that make them different from current networks. Insightful intuitions, which will assist decision-makers as they migrate their services, are explained and mathematically proven. The book presents the latest review of research outcomes on ultra-dense networks, based on both theoretical analyses and network simulations, includes over 200 sources from 3GPP, the Small Cell Forum, journals and conference proceedings, and covers all other related and prominent topics. This is an ideal reference text for professionals who are dealing with the development, deployment, operation

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

This handbook focuses on the study of distributed team cognition, defined by information, technology, people, work, and context. This four-volume handbook set, defines current worldviews of distribute

This book looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse

This book provides a comprehensive textbook on Distributed Denial of Service (DDoS) attacks. It will present both their history and the necessary technical background, including the social impact, eco

This book provides a comprehensive textbook on Distributed Denial of Service (DDoS) attacks. It will present both their history and the necessary technical background, including the social impact, eco

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to unders

Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related to main neural networks (MNN). The book throws light on the

Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written

Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written

This book presents the proceedings of the International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2019), sponsored by the University of Milan, Milan, It

AN ESSENTIAL GUIDE TO USING BLOCKCHAIN TO PROVIDE FLEXIBILITY, COST-SAVINGS, AND SECURITY TO DATA MANAGEMENT, DATA ANALYSIS, AND INFORMATION SHARINGBlockchain for Distributed Systems Security con

Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determinatio

Dean C. Alexander's groundbreaking book, Family Terror Networks, analyzes the emerging and troubling aspects of family terror networks. In doing so, the work chronicles the issue of family affiliated

This title covers key topics and approaches for next generation networks and complex communication systems, and the various aspects of modeling and simulation of these networks from a complex adaptive

This book offers an introduction to piezoelectric shells and distributed sensing, energy harvesting and control applications. It familiarizes readers with a generic approach of piezoelectric shells an

The science of networks represented a substantial change in the way we see natural and technological phenomena. Now we have a better understanding that networks are, in most cases, networks of network

This collection explores how cognition is explicitly or implicitly conceived of as distributed across brain, body and world in Greek and Roman technology, science, medicine, material culture, philosop

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicle covers state estimation development approaches for Mini-UAV. The book focuses on Kalman filtering technics for UAV design