Capacity Analysis of Vehicular Communication Networks (Paperback, 2014 ed.)

This SpringerBrief focuses on the network capacity analysis of VANETs, a key topic as fundamental guidance on design and deployment of VANETs is very limited. Moreover, unique characteristics of VANETs impose distinguished challenges on such an investigation. This SpringerBrief first introduces capacity scaling laws for wireless networks and briefly reviews the prior arts in deriving the capacity of VANETs. It then studies the unicast capacity considering the socialized mobility model of VANETs. With vehicles communicating based on a two-hop relaying scheme, the unicast capacity bound is derived and can be applied to predict the throughput of real-world scenarios of VANETs. The downlink capacity of VANETs is also investigated in which access infrastructure is deployed to provide pervasive Internet access to vehicles. Different alternatives of wireless access infrastructure are considered. A lower bound of downlink capacity is derived for each type of access infrastructure. The last section of this book presents a case study based on a perfect city grid to examine the capacity-cost trade-offs of different deployments since the deployment costs of different access infrastructure are highly variable.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	September 2013
First published:	2014
Authors:	Ning Lu • Xuemin (Sherman) Shen
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	82
Edition:	2014 ed.
ISBN-13:	978-1-4614-8396-0
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	1-4614-8396-4
Barcode:	9781461483960

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