Wireless Mesh Networks

by Gilbert Held

Overview

Wireless mesh networking is a new technology that has the potential to revolutionize how we access the Internet and communicate with co-workers and friends. Wireless Mesh Networks examines the concept and explores its advantages over existing technologies. This book explores existing and future applications, and examines how some of the networking

Product Details

ISBN-13:	9781000612172
Publisher:	CRC Press
Publication date:	06/23/2005
Sold by:	Barnes & Noble
Format:	eBook
Pages:	144
File size:	5 MB

About the Author

Gilbert Held is an internationally recognized author and lecturer who specializes in the applications of computer and communications technology. With over 30 years of experience in managing communications networks, he conducts seminars on topics that include LAN/WAN internetworking, data compression, and PC hardware and software. Held has written numerous books on computers and communications technology and has been recognized for his technical excellence in writing.

Table of Contents

Introduction to wireless mesh networking. Radio frequency utilization. Mesh network components. Routing protocols. Network operation. Creating a HotPoint-based mesh network. Wireless mesh standards. The future of wireless mesh networking.

Editorial Reviews

This book is intended as a text for a one- or two- semester undergraduate introductory course in probability, statistics, and reliability with an emphasis on applications. The authors state that Probability, Statistics, and Reliability for Engineers was developed with an emphasis on engineering and technological problems.....and is intended to better prepare future engineers, as well as assist practicing engineers, in understanding the fundamentals of probability, statistics, and reliability methods, especially thier applications, limitations, and potentials.

Overall, Probability, Statistics, and Reliability for Engineers does a good job presenting real-life examples to illustrate each new concept, but not enough basic, nonapplied examples are given and absolutely no theory is presented to support any of the concepts introduced. It is my opinion that the reader would need prior exposure to statistical concepts in order to read, comprehend, and learn from this book.

Mary Richardson

This textbook for a first-course in the subject emphasizes the proper treatment of uncertainty to make the best decisions, and uses practical examples, such as time to failure of cranes, discharge and flow of rivers, hydraulic pump reliability, predicting defects in manufacturing, nuclear reactor reliability, and traffic flow patterns. Topics include Taylor series expansion; graphical analysis of data; the probabilistic characteristics of functions of random variables; parameter estimation, hypothesis testing, confidence-interval estimation, sample-size determination; Monte Carlo simulation; and Bayesian methods in engineering. Annotation c. by Book News, Inc., Portland, Or.

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