DocumentCode :
2616604
Title :
Optimal Placement and Configuration of Roadside Units in Vehicular Networks
Author :
Liang, Yingsi ; Liu, Hui ; Rajan, Dinesh
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fYear :
2012
fDate :
6-9 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we propose a novel optimization framework for Roadside Unit (RSU) deployment and configuration in a vehicular network. We formulate the problem of placement of RSUs and selecting their configurations (e.g. power level, types of antenna and wired/wireless back haul network connectivity) as a linear program. The objective function is to minimize the total cost to deploy and maintain the network of RSU´s. A user specified constraint on the minimum coverage provided by the RSU is also incorporated into the optimization framework. Further, the framework also supports the option of specifying selected regions of higher importance such as locations of frequently occurring accidents and incorporating constraints requiring stricter coverage in those areas. Simulation results are presented to demonstrate the feasibility of deployment on the campus map of Southern Methodist University (SMU). The efficiency and scalability of the optimization procedure for large scale problems are also studied and results shows that optimization over an area with the size of Cambridge, Massachusetts is completed in under 2 minutes. Finally, the effects of variation in several key parameters on the resulting design are studied.
Keywords :
antennas; linear programming; vehicular ad hoc networks; RSU deployment; SMU; Southern Methodist University; antenna types; backhaul network connectivity; campus map; linear program; optimal placement; optimization framework; power level; roadside unit configuration; vehicular network; Accidents; Antennas; Delay; Educational institutions; Local area networks; Optimization; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
Conference_Location :
Yokohama
ISSN :
1550-2252
Print_ISBN :
978-1-4673-0989-9
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2012.6240345
Filename :
6240345
Link To Document :
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