Distributed Sensor Networks

The scope of this second edition of the introduction to fundamental distributed programming abstractions has been extended to cover ‘Byzantine fault tolerance’. It includes algorithms to implement the

Maoz views the evolution of international relations over the last two centuries as a set of interacting, cooperative and conflicting networks of states. The networks that emerged are the result of national choice processes about forming or breaking ties with other states. States are constantly concerned with their security and survival in an anarchic world. Their security concerns stem from their external environment and their past conflicts. Because many of them cannot ensure their security by their own power, they need allies to balance against a hostile international environment. The alliance choices made by states define the structure of security cooperation networks and spill over into other cooperative networks, including trade and institutions. Maoz tests his theory by applying social networks analysis (SNA) methods to international relations. He offers a novel perspective as a system of interrelated networks that co-evolve and interact with one another.

Maoz views the evolution of international relations over the last two centuries as a set of interacting, cooperative and conflicting networks of states. The networks that emerged are the result of national choice processes about forming or breaking ties with other states. States are constantly concerned with their security and survival in an anarchic world. Their security concerns stem from their external environment and their past conflicts. Because many of them cannot ensure their security by their own power, they need allies to balance against a hostile international environment. The alliance choices made by states define the structure of security cooperation networks and spill over into other cooperative networks, including trade and institutions. Maoz tests his theory by applying social networks analysis (SNA) methods to international relations. He offers a novel perspective as a system of interrelated networks that co-evolve and interact with one another.

Unlike wired networks where transmitters have no effect on receivers other than their own, in wireless networks we are limited by interference. The traditional routing methods are not optimal any more

Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, variou

This second edition is an extensive modernization of the bestselling introduction to the subject of adaptive array sensor systems. With the number of applications of adaptive array sensor systems grow

The International Symposium on Distributed Computing and Artificial Intelli-gence (DCAI’10) is an annual forum that brings together past experience, current work and promising future trends associated

Do you need to get up to speed quickly on the technologies and services that could transform the wireless world over the coming decade? Whether you work directly with wireless or in a sector where wireless solutions could be beneficial (e.g. healthcare, transport, sensor networks, location and smart metering), this concise guide provides a critical insight into future developments. For the first time, you will have a clear view of all the key technologies, including mesh networks, white space/cognitive devices, 4G/LTE and femtocells, and all the sectors or applications in which they could be used, with a comparison of the positives and negatives of each technology and sector area. You'll also see where the technologies required overlap and so could bring benefits across multiple areas, as well as how the key drivers of change in the past may impact on the future.

This book represents the combined peer-reviewed proceedings of the Fourth International Symposium on Intelligent Distributed Computing -- IDC 2010 and of the Second International Workshop on Multi-Age

The objective in editing this book was to assemble a sample of the best work in parallel and distributed biologically inspired algorithms. The editors invited researchers in different domains to submi

Following in the tradition of its popular predecessor, A Practical Guide to Content Delivery Networks, Second Edition offers an accessible and organized approach to implementing networks capable of ha

This collection of sixteen articles on next generation wireless networking showcases current scholarships in ad-hoc and sensor network technologies. The work is divided into three sections covering ad

This book constitutes the refereed proceedings of the 7th IFIP TC 10 Working Conference on Distributed and Parallel Embedded Systems, DIPES 2010 and the 3rd IFIP TC 10 International Conference on Biol

Lv et al. (Sichuan U., China) focus on the convergence analysis of subspace learning algorithms of neural networks and the ways to extend the use of these networks in fields like biomedical signal pro

Originally published in 2002, this book presents techniques in the application of formal methods to object-based distributed systems. A major theme of the book is how to formally handle the requirements arising from OO distributed systems, such as dynamic reconfiguration, encapsulation, subtyping, inheritance, and real-time aspects. These may be supported either by enhancing existing notations, such as UML, LOTOS, SDL and Z, or by defining fresh notations, such as Actors, Pi-calculus and Ambients. The major specification notations and modelling techniques are introduced and compared by leading researchers. The book also includes a description of approaches to the specification of non-functional requirements, and a discussion of security issues. Researchers and practitioners in software design, object-oriented computing, distributed systems, and telecommunications systems will gain an appreciation of the relationships between the major areas of concerns and learn how the use of object-o

Electromechanical systems consisting of electrical, mechanical and acoustic subsystems are of special importance in various technical fields, e.g. precision device engineering, sensor and actuator tec

Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identif

Enterprise Networks and Logistics for Agile Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in the areas of enterprise networks and logistics, as

A distributed database management system (DDBMS) is a layer of software, implemented on top of existing database management systems, allowing users transparent access to information dispersed across a

This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, includ

In the twenty-first century, what could be more important than networks? Such is the power of their influence and attendant technologies that it is unsurprising that our thinking about networks is per

In the twenty-first century, what could be more important than networks? Such is the power of their influence and attendant technologies that it is unsurprising that our thinking about networks is per

The purpose of the 11th Conference Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2010) held on June 9 - 11, 2010 in London, United Kingdom was to

Offering case studies in each chapter, this book details theory, models, patterns, technologies, platforms, and applications of large-scale distributed computing. It covers major issues related such a

Many countries in Sub-Saharan Africa see broadband ICT as an essential part of their long-term economic development strategy. Backbone networks are the high-capacity networks that lie at the heart of

Take control of your global game development team and make successful AAA game titles using the 'Distributed Development' model. Game industry veteran Tim Fields teaches you how to evaluate game deals

Why have informal enterprise networks failed to promote economic development in Africa? Although social networks were thought to offer a solution to state incapacity and market failure, the prolifer

This book constitutes the refereed proceedings of the 11th International Conference on Distributed Computing and Networking, ICDCN 2010, held in Kolkata, India, during January 3-6, 2010. There were 16

This book constitutes the refereed proceedings of the 13th International Conference on Principles of Distributed Systems, OPODIS 2009, held in Nimes, France, in December 2009.The 23 full papers and 4

Distributed computing paradigms for sharing resources such as Clouds, Grids, Peer-to-Peer systems, or voluntary computing are becoming increasingly popular. While there are some success stories such a

This book represents the peer-reviewed proceedings of the Third International Symposium on Intelligent Distributed Computing – IDC 2009 held in Ayia Napa, Cyprus during October 13-14, 2009.The 36 cont

Researchers from across the world and in a variety of disciplines have become interested in describing and understanding the phenomenon of distributed projects and teams. This study aims to measure th

A self-contained introduction to the theory and applications of Bayesian Networks Bayesian networks are a topic of interest and importance for statisticians, computer scientists and those involved

The International Symposia on Distributed Autonomous Robotic Systems (DARS) started at Riken, Japan in 1992. Since then, the DARS symposia have been held every two years. The 9th DARS symposium, which

Changing world market conditions have forced manufacturers to apply new architectures and technologies for the design and control of manufacturing systems. Distributed Manufacturing: Paradigm, Concept

This book explores the work of transnational bureaucracy networks. These networks address global issues by creating rules transnational public law to be incorporated into national legal orders. As c

Deploying IPv6 in Broadband Access Networks Adeel Ahmed Salman Asadullah An essential reference for deploying IPv6 in broadband networks With the exponential growth of the Internet and increasing

With 40% new material the new edition of Advanced Wireless Networks provides a comprehensive representation of the key issues in 4G wireless networks. Focussing on cognitive, cooperative and opportuni

The purpose of the 10th Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2009) to be held on May 27 – 29, 2009 in Daegu, Korea is to bri

This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying