Focusing on the nuts and bolts of wireless network access for computers on board vehicles, this volume shows how in-car computerization now does much more than merely act as a glorified map-reader. Wireless communication is transforming road travel in ways previously undreamt of, allowing vehicles to "talk" to a wider network and monitor road conditions, potential delays and traffic congestion, all automatically. Toll payments can be made without opening the driver's window on a cold day, while vehicles might themselves take active steps to avoid collisions. It is the connection between on-board computers and wireless access points, ubiquitous in most cities now, that is a key area of research. Moving vehicles transfer their communications to new points as they progress, and this causes delays, known as "handover latency". In this book, new stochastic models are developed to map the disruption when connecting to 802.11 WLAN points. It details the application of stochastic tools to analyzing communication networks, as well as previous literature on handover latency and relevant mathematical modeling. Finally, it presents a scheme for monitoring traffic congestion using WLAN connectivity. This volume will be a useful addition to the libraries both of wireless communication students and those studying probability theory.
From the reviews: "It is a broad-based work addressing the network-related issues of emerging wireless networks for vehicle-to-vehicle (V2V) and road-to-vehicle (R2V) communications based on the IEEE 802.11 family of protocols. ... the book could be useful as an academic exploration for network systems engineers who intend to study this experimental work in greater detail. Such readers might use the authors' findings to develop their own verifiable models to gain a deeper understanding of mathematical modeling of wireless networks, not just roadside and vehicle networks." (Satya Prakash Saraswat, ACM Computing Reviews, March, 2013)
Number Of Pages: 172
Published: 24th July 2012
Dimensions (cm): 23.393 x 15.596 x 1.118
Weight (kg): 0.417