Title
Hotspot discovery algorithms in coverage selection model over VANETs
Abstract
The RSU deployment algorithms to cover interest regions have emerged as promising areas of research in vehicular ad hoc networks. However, there is few research on the discovery of the interest regions. Besides, the deployment algorithms are usually proposed for either continuous coverage or sparse coverage. The wisdom of the model selection are rarely addressed. In this paper, we proposed a new algorithm to discover interest regions. A budget-constrained coverage selection algorithm is also presented to help network designers choose suitable coverage models to meet the budget and quality requirements. The algorithms are implemented on top of Ns2 and the simulations are carried out using SUMO and OpenStreet Maps. The performance comparison between our algorithm and other two clustering algorithms prove that our algorithm has a better performance in terms of contact time for both sparse coverage and continue coverage.
Year
DOI
Venue
2014
10.1109/GLOCOM.2014.7036798
GLOBECOM
Keywords
Field
DocType
vanet,sumo,rsu deployment algorithms,quality requirements,hotspot discovery algorithms,sparse coverage,interest region discovery,budget-constrained coverage selection algorithm,openstreet maps,continuous coverage,vehicular ad hoc networks,budget requirements,ad hoc networks,clustering algorithms,algorithm design and analysis,availability
Data mining,Software deployment,Algorithm design,Computer science,Selection algorithm,Algorithm,Model selection,Computer network,Wireless ad hoc network,Cluster analysis,Hotspot (Wi-Fi),Vehicular ad hoc network
Conference
ISSN
Citations 
PageRank 
2334-0983
0
0.34
References 
Authors
17
4
Name
Order
Citations
PageRank
Huang Cheng1172.20
Xin Fei217913.67
Azzedine Boukerche34301418.60
Mohammed Almulla414720.60