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Analysis of Message Propagation for Intelligent Disaster Management through Vehicular Cloud Network

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Nanhay SinghAuthors Info & Claims

ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies

Article No.: 46, Pages 1 - 5

https://doi.org/10.1145/2905055.2905252

Published: 04 March 2016 Publication History

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Abstract

Vehicular Ad hoc Network (VANET) plays a very important role at the time of disaster such as it helps in taking people from disaster prone area to evacuation areas to save human lives and economic properties. VANET contains fire extinguishers' van, smart vehicles, ambulances and all the public transport. All these vehicles collectively form an ad hoc network known VANET. In VANET, when the clouds of vehicles are formed, then it is known as Vehicular Cloud Network (VCN). VCN is responsible to timely forward the messages to the vehicles, concerned authorities, and pedestrians. In this work, we have encompassed the VANET and VCN together and proposed an Intelligent Vehicular Cloud Disaster Management System (IVCDMS) model. Further, we have analysed the intelligent disaster management through VCN communication modes with the existing hybrid communication protocols. Finally, we have evaluated the message propagation rate using proposed model in terms of time for the both city and highway scenarios using MATLAB.

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Ghazizadeh AGhazizadeh PMukkamala ROlariu S(2023)Reasoning About Expected Job Completion Time in Dynamic Vehicular CloudsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.327129124:8(8279-8289)Online publication date: Aug-2023
https://doi.org/10.1109/TITS.2023.3271291
Gaba PRaw R(2022)BIVFN: Blockchain-Enabled Intelligent Vehicular Fog NetworksIntelligent Computing and Applications10.1007/978-981-19-4162-7_3(19-27)Online publication date: 14-Nov-2022
https://doi.org/10.1007/978-981-19-4162-7_3
Olariu S(2020)A Survey of Vehicular Cloud Research: Trends, Applications and ChallengesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2019.295974321:6(2648-2663)Online publication date: Jun-2020
https://doi.org/10.1109/TITS.2019.2959743
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Analysis of Message Propagation for Intelligent Disaster Management through Vehicular Cloud Network
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ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies

March 2016

843 pages

ISBN:9781450339629

DOI:10.1145/2905055

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 March 2016

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ICTCS '16

ICTCS '16: Second International Conference on Information and Communication Technology for Competitive Strategies

March 4 - 5, 2016

Udaipur, India

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Ghazizadeh AGhazizadeh PMukkamala ROlariu S(2023)Reasoning About Expected Job Completion Time in Dynamic Vehicular CloudsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.327129124:8(8279-8289)Online publication date: Aug-2023
https://doi.org/10.1109/TITS.2023.3271291
Gaba PRaw R(2022)BIVFN: Blockchain-Enabled Intelligent Vehicular Fog NetworksIntelligent Computing and Applications10.1007/978-981-19-4162-7_3(19-27)Online publication date: 14-Nov-2022
https://doi.org/10.1007/978-981-19-4162-7_3
Olariu S(2020)A Survey of Vehicular Cloud Research: Trends, Applications and ChallengesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2019.295974321:6(2648-2663)Online publication date: Jun-2020
https://doi.org/10.1109/TITS.2019.2959743
Sahil Sood S(2020)Fog-Cloud centric IoT-based cyber physical framework for panic oriented disaster evacuation in smart citiesEarth Science Informatics10.1007/s12145-020-00481-615:3(1449-1470)Online publication date: 12-Aug-2020
https://doi.org/10.1007/s12145-020-00481-6
Sharma SKaul A(2020)VANETs Cloud: Architecture, Applications, Challenges, and IssuesArchives of Computational Methods in Engineering10.1007/s11831-020-09447-9Online publication date: 5-Jun-2020
https://doi.org/10.1007/s11831-020-09447-9
Ghazizadeh AGhazizadeh POlariu S(2020)Job Completion Time in Dynamic Vehicular Cloud Under Multiple Access PointsCloud Computing – CLOUD 202010.1007/978-3-030-59635-4_7(96-110)Online publication date: 18-Sep-2020
https://doi.org/10.1007/978-3-030-59635-4_7
Florin ROlariu S(2019)Toward Approximating Job Completion Time in Vehicular CloudsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2018.287399820:8(3168-3177)Online publication date: Aug-2019
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Ghazizadeh AOlariu S(2018)Vehicular Clouds: A Survey and Future DirectionsCloud Computing for Optimization: Foundations, Applications, and Challenges10.1007/978-3-319-73676-1_17(435-463)Online publication date: 27-Feb-2018
https://doi.org/10.1007/978-3-319-73676-1_17
Pandey VDe S(2017)Communication deployability in disaster management: Taxonomy, recent developments and future challenges2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)10.1109/ANTS.2017.8384151(1-6)Online publication date: Dec-2017
https://doi.org/10.1109/ANTS.2017.8384151

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Analysis and Proposal of Position-Based Routing Protocols for Vehicular Ad Hoc Networks

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