Intelligent Sensor Networks

Intelligent Cities and Globalisation of Innovation Networks combines concepts and theories from the fields of urban development and planning, innovation management, and virtual / intelligent environme

If you have to understand and optimize the performance of wireless ad hoc and sensor networks, this explanation provides you with the information and insights you need. It delivers an understanding of the underlying problems, and the techniques to develop efficient solutions and maximize network performance. Taking an algorithmic and theoretical approach, Li dissects key layers of a wireless network, from the physical and MAC layers (covering the IEEE 802.11 and 802.16 protocols, and protocols for wireless sensor networks and Bluetooth) through to the network routing layer. In doing so he reviews the practical protocols, formulates problems mathematically, solves them algorithmically and then analyses the performance. Graduate students, researchers and practitioners needing an overview of the various algorithmic, graph theoretical, computational geometric and probabilistic approaches to solving problems in designing these networks will find this an invaluable resource. Additional resou

Finally a book on Wireless Sensor Networks that covers real world applications and contains practical advice! Kuorilehto et al. have written the first practical guide to wireless sensor networks. Th

Wireless Ad Hoc and Sensor Networks: A Cross-Layer Design Perspective deals with the emerging design trend that transcends traditional communication layers for performance gains in ad hoc and sensor

Introducing the basic concepts in total program control of the intelligent agents and machines, Intelligent Internet Knowledge Networks explores the design and architecture of information systems that

This publication represents the best thinking and solutions to a myriad of contemporary issues in wireless networks. Coverage includes wireless LANs, multihop wireless networks, and sensor networks. R

Learn how to use CAMEL to transfer the Intelligent Network concept to the mobile world! CAMEL (Customized Application for the Mobile network Enhanced Logic) is a standard for Intelligent Networks for

Sensor networks continue to grow in importance for modern communication networks. Communication protocols are at the core of these networks, determining their ability to function, their capabilities,

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 mi

Topology control is fundamental to solving scalability and capacity problems in large-scale wireless ad hoc and sensor networks. Forthcoming wireless multi-hop networks such as ad hoc and sensor net

This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unf

Cutting-edge research indicates that evolutionary programming is set to emerge as the dominant optimisation technique in the fast-changing power industry. Combining theory and practice, Intelligent Sy

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo