Chapter 1. Introduction to Wireless Networks Over the past five years, the world has become increasingly mobile. As a result, traditional ways of networking the world have proven inadequate to meet the challenges posed by our new collective lifestyl
Man has always had a desire to exchange information amongst fellow man. Not so long ago, people gathered on the town square to gossip about the affairs of the town and its inhabitants. The Internet has now turned the World into one big Electronic To
This book provides 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 techni
Multi-hop data delivery through vehicular ad hoc networks is complicated by the fact that vehicular networks are highly mobile and frequently disconnected. To address this issue, we adopt the idea of carry and forward, where a moving vehicle carries
Kalman Filtering and Neural Networks This self-contained book, consisting of seven chapters, is devoted to Kalman filter theory applied to the training and use of neural networks,and some applications of learning algorithms derived in this way.
