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Modeling the impact of mobility on the connectivity of vehicular networks in large-scale urban environment

Modeling the impact of mobility on the connectivity of vehicular networks in large-scale urban environment
Modeling the impact of mobility on the connectivity of vehicular networks in large-scale urban environment
The connectivity of moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs) that critically influences the performance of data transmission. Due to lack of in-depth analysis of realworld vehicular mobility traces, we do not understand the connectivity in realistic large-scale urban scenarios. Specifically, the mechanism of how the mobility of networked vehicles impacts the network connectivity remains unknown. In this paper, we aimto unveil the underlying relationship between the mobility and connectivity of VANETs. To achieve this goal, we employ some key topology metrics, including component speed and component size, to characterize mobility and connectivity. In our investigation of a large-scale real-world urban mobility trace data set, we discover, to our surprise, that there exists a dichotomy in the relationship between component speed and size. This dichotomy indicates that mobility destroys the connectivity with a power-law decline when the component speed is larger than a threshold; otherwise, it has no apparent impact on connectivity. Based on this observation, we propose a mathematical model to characterize this relationship, which agrees well with empirical results. Our findings thus offer a comprehensive understanding of the relationship between mobility and connectivity in urban vehicular scenarios, and based on this, helpful guidelines can be provided in the design and analysis of VANETs.
0018-9545
2753-2758
Hou, Xueshi
8301abf7-6362-403b-abd0-671025d60de3
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Wu, Dapeng
7bfd98f4-482e-4249-aa02-3f1cfcdf5b1e
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hou, Xueshi
8301abf7-6362-403b-abd0-671025d60de3
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Wu, Dapeng
7bfd98f4-482e-4249-aa02-3f1cfcdf5b1e
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Hou, Xueshi, Li, Yong, Jin, Depeng, Wu, Dapeng and Chen, Sheng (2016) Modeling the impact of mobility on the connectivity of vehicular networks in large-scale urban environment. IEEE Transactions on Vehicular Technology, 65 (4), 2753-2758. (doi:10.1109/TVT.2015.2418574).

Record type: Article

Abstract

The connectivity of moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs) that critically influences the performance of data transmission. Due to lack of in-depth analysis of realworld vehicular mobility traces, we do not understand the connectivity in realistic large-scale urban scenarios. Specifically, the mechanism of how the mobility of networked vehicles impacts the network connectivity remains unknown. In this paper, we aimto unveil the underlying relationship between the mobility and connectivity of VANETs. To achieve this goal, we employ some key topology metrics, including component speed and component size, to characterize mobility and connectivity. In our investigation of a large-scale real-world urban mobility trace data set, we discover, to our surprise, that there exists a dichotomy in the relationship between component speed and size. This dichotomy indicates that mobility destroys the connectivity with a power-law decline when the component speed is larger than a threshold; otherwise, it has no apparent impact on connectivity. Based on this observation, we propose a mathematical model to characterize this relationship, which agrees well with empirical results. Our findings thus offer a comprehensive understanding of the relationship between mobility and connectivity in urban vehicular scenarios, and based on this, helpful guidelines can be provided in the design and analysis of VANETs.

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Accepted/In Press date: 27 March 2015
e-pub ahead of print date: 31 March 2016
Published date: April 2016
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 392923
URI: http://eprints.soton.ac.uk/id/eprint/392923
ISSN: 0018-9545
PURE UUID: e4c74e02-ecb9-4309-a4a0-28dc1b017ab0

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Date deposited: 19 Apr 2016 10:26
Last modified: 16 Dec 2019 19:59

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