DocumentCode :
624048
Title :
Voronoi-based placement of road-side units to improve dynamic resource management in Vehicular Ad Hoc Networks
Author :
Patil, Premajyothi ; Gokhale, Aniruddha
Author_Institution :
Dept. of EECS Nashville, Vanderbilt Univ., Nashville, TN, USA
fYear :
2013
fDate :
20-24 May 2013
Firstpage :
389
Lastpage :
396
Abstract :
Vehicular Ad-hoc Networks (VANETs) illustrate mobile P2P networks, which hold significant promise in improving traffic safety and alleviating traffic congestion. Reliable VANETbased services require dynamic resource management due to limited and often fluctuating network connectivity of VANETs that stem from the wireless and mobile nature of vehicleto-vehicle (V2V) communications. To address these needs, a collaboration with Road-Side Units (RSU) have been proposed to complement V2V communication by providing event and data brokering capability in the form of Vehicle-to-Infrastructure (V2I) communications. Deploying RSUs involves upfront investment and maintenance costs, and hence solutions are needed that maximize the benefit of RSUs by placing them effectively in accordance to existing and projected traffic density, and the types of services planned for VANETs. To address these challenges, this paper proposes a novel Voronoi diagram-based algorithm for the effective placement of RSUs using packet delay and loss as a criteria. This approach has two-fold advantages: a significant reduction in the number of RSUs required to cover a geographic region, and increase in the logical coverage area of each RSU irrespective of the dynamic vehicular traffic conditions thereby improving reliability of communications. This algorithm has been evaluated in the context of a road network and traffic conditions for an urban area. When compared with other baseline placement algorithms, communication reliability stemming from our Voronoi diagram-based placement algorithm results in less packet delay and lesser packet loss both of which are important to realize the different VANET-based services.
Keywords :
computational geometry; computer network reliability; investment; peer-to-peer computing; resource allocation; road traffic; traffic engineering computing; vehicular ad hoc networks; RSU; V2I communications; V2V communication; VANET- based services; Voronoi diagram-based placement algorithm; communication reliability; dynamic resource management; dynamic vehicular traffic conditions; geographic region; logical coverage area; maintenance costs; mobile P2P networks; network connectivity; packet delay; packet loss; road network conditions; road-side units; traffic congestion; traffic density; traffic safety; upfront investment; urban area; vehicle- to-vehicle communications; vehicle-to-infrastructure communications; vehicular ad hoc networks; Bandwidth; Delays; Reliability; Roads; Vehicles; Vehicular ad hoc networks; Dynamic resource management in vehicular networks; collaboration via road-side units; placement using Voronoi diagrams;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2013 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-6403-4
Type :
conf
DOI :
10.1109/CTS.2013.6567260
Filename :
6567260
Link To Document :
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