Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/609614
Title: Information-Sharing Outage-Probability Analysis of Vehicular Networks
Authors: Chunxiao Jiang;Haijun Zhang;Zhu Han;Yong Ren;Victor C. M. Leung;Lajos Hanzo
subject: Credibility|information sharing|Poisson point process (PPP)|reinforcement learning|vehicular networks|information dissemination
Year: 2016
Publisher: IEEE
Abstract: In vehicular networks, information dissemination/sharing among vehicles is of salient importance. Although diverse mechanisms have been proposed in the existing literature, the related information credibility issues have not been investigated. Against this background, in this paper, we propose a credible information-sharing mechanism capable of ensuring that the vehicles do share genuine road traffic information (RTI). We commence with the outage-probability analysis of information sharing in vehicular networks under both a general scenario and a specific highway scenario. Closed-form expressions are derived for both scenarios, given the specific channel settings. Based on the outage-probability expressions, we formulate the utility of RTI sharing and design an algorithm for promoting the sharing of genuine RTI. To verify our theoretical analysis and the proposed mechanism, we invoke a real-world dataset containing the locations of Beijing taxis to conduct our simulations. Explicitly, our simulation results show that the spatial distribution of the vehicles obeys a Poisson point process (PPP), and our proposed credible RTI sharing mechanism is capable of ensuring that all vehicles indeed do share genuine RTI with each other.
URI: http://localhost/handle/Hannan/141161
http://localhost/handle/Hannan/609614
ISSN: 0018-9545
1939-9359
volume: 65
issue: 12
Appears in Collections:2016

Files in This Item:
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Title: Information-Sharing Outage-Probability Analysis of Vehicular Networks
Authors: Chunxiao Jiang;Haijun Zhang;Zhu Han;Yong Ren;Victor C. M. Leung;Lajos Hanzo
subject: Credibility|information sharing|Poisson point process (PPP)|reinforcement learning|vehicular networks|information dissemination
Year: 2016
Publisher: IEEE
Abstract: In vehicular networks, information dissemination/sharing among vehicles is of salient importance. Although diverse mechanisms have been proposed in the existing literature, the related information credibility issues have not been investigated. Against this background, in this paper, we propose a credible information-sharing mechanism capable of ensuring that the vehicles do share genuine road traffic information (RTI). We commence with the outage-probability analysis of information sharing in vehicular networks under both a general scenario and a specific highway scenario. Closed-form expressions are derived for both scenarios, given the specific channel settings. Based on the outage-probability expressions, we formulate the utility of RTI sharing and design an algorithm for promoting the sharing of genuine RTI. To verify our theoretical analysis and the proposed mechanism, we invoke a real-world dataset containing the locations of Beijing taxis to conduct our simulations. Explicitly, our simulation results show that the spatial distribution of the vehicles obeys a Poisson point process (PPP), and our proposed credible RTI sharing mechanism is capable of ensuring that all vehicles indeed do share genuine RTI with each other.
URI: http://localhost/handle/Hannan/141161
http://localhost/handle/Hannan/609614
ISSN: 0018-9545
1939-9359
volume: 65
issue: 12
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7579156.pdf1.18 MBAdobe PDFThumbnail
Preview File
Title: Information-Sharing Outage-Probability Analysis of Vehicular Networks
Authors: Chunxiao Jiang;Haijun Zhang;Zhu Han;Yong Ren;Victor C. M. Leung;Lajos Hanzo
subject: Credibility|information sharing|Poisson point process (PPP)|reinforcement learning|vehicular networks|information dissemination
Year: 2016
Publisher: IEEE
Abstract: In vehicular networks, information dissemination/sharing among vehicles is of salient importance. Although diverse mechanisms have been proposed in the existing literature, the related information credibility issues have not been investigated. Against this background, in this paper, we propose a credible information-sharing mechanism capable of ensuring that the vehicles do share genuine road traffic information (RTI). We commence with the outage-probability analysis of information sharing in vehicular networks under both a general scenario and a specific highway scenario. Closed-form expressions are derived for both scenarios, given the specific channel settings. Based on the outage-probability expressions, we formulate the utility of RTI sharing and design an algorithm for promoting the sharing of genuine RTI. To verify our theoretical analysis and the proposed mechanism, we invoke a real-world dataset containing the locations of Beijing taxis to conduct our simulations. Explicitly, our simulation results show that the spatial distribution of the vehicles obeys a Poisson point process (PPP), and our proposed credible RTI sharing mechanism is capable of ensuring that all vehicles indeed do share genuine RTI with each other.
URI: http://localhost/handle/Hannan/141161
http://localhost/handle/Hannan/609614
ISSN: 0018-9545
1939-9359
volume: 65
issue: 12
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7579156.pdf1.18 MBAdobe PDFThumbnail
Preview File