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Dynamic route selection for vehicular store-carry-forward networks and misbehaviour vehicles analysis
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Yuan, Hu, Maple, Carsten and Ghirardello, Kevin (2019) Dynamic route selection for vehicular store-carry-forward networks and misbehaviour vehicles analysis. In: 2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall, Chicago, USA, 27–30 Aug 2018. Published in: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) doi:10.1109/VTCFall.2018.8690703 ISSN 2577-2465.
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WRAP-dynamic-route-vehicular-misbehaviour-vehicles-Maple-2018.pdf - Accepted Version - Requires a PDF viewer. Download (1281Kb) | Preview |
Official URL: https://doi.org/10.1109/VTCFall.2018.8690703
Abstract
In this paper, we present realistic urban simulation results for store-carry-forward (SCF) relay communications within a cellular network. We describe two dynamic routing algorithms, minimising outage and minimising data packet travel time, which feature enhancements to increase the routing flexibility. It is shown that these enhancements to increase flexibility in re-routing the data leads to a dramatic decrease in the outage probability while only increasing packet travel time slightly. A misbehaviour model is analysed in this paper, in which misbehaving vehicles fail to follow the rules of the SCF routing algorithms. There are various reasons for a rogue vehicle to fail to obey the routing algorithm, including an intention to modify the message before onward transmission. Misbehaviour is detected by considering expected traffic density distributions. A Hidden Markov Model (HMM) is used to detect misbehaviour based on how data is passed by vehicles. Results show that the probability that misbehaviour is detected is 87% using this approach.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Communication and traffic, Traffic engineering -- Boston, Mass, Algorithms | ||||||
| Journal or Publication Title: | 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 2577-2465 | ||||||
| Official Date: | 15 April 2019 | ||||||
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| DOI: | 10.1109/VTCFall.2018.8690703 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 12 July 2018 | ||||||
| Date of first compliant Open Access: | 12 July 2018 | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2018 IEEE 88th Vehicular Technology Conference: VTC2018-Fall | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Chicago, USA | ||||||
| Date(s) of Event: | 27–30 Aug 2018 | ||||||
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