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      EEMDS: An Effective Emergency Message Dissemination Scheme for Urban VANETs

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          Abstract

          In Vehicular Adhoc Networks (VANETs), disseminating Emergency Messages (EMs) to a maximum number of vehicles with low latency and low packet loss is critical for road safety. However, avoiding the broadcast storm and dealing with large-scale dissemination of EMs in urban VANETs, particularly at intersections, are the challenging tasks. The problems become even more challenging in a dense network. We propose an Effective Emergency Message Dissemination Scheme (EEMDS) for urban VANETs. The scheme is based on our mobility metrics to avoid communication overhead and to maintain a stable cluster structure. Every vehicle takes into account its direction angle and path loss factor for selecting a suitable cluster head. Moreover, we introduce estimated link stability to choose a suitable relay vehicle that reduces the number of rebroadcasts and communication congestion in the network. Simulation results show that EEMDS provides an acceptable end-to-end delay, information coverage, and packet delivery ratio compared to the eminent EM dissemination schemes.

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          Metastable states in a microscopic model of traffic flow

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            DV-CAST: A distributed vehicular broadcast protocol for vehicular ad hoc networks

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              Mobility-Aware Device-to-Device Communications: Principles, Practice and Challenges

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                25 February 2021
                March 2021
                : 21
                : 5
                : 1588
                Affiliations
                [1 ]Telecommunications and Networking Research Center, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan; sami@ 123456giki.edu.pk (S.U.); abbasg@ 123456giki.edu.pk (G.A.); engr.waqas2079@ 123456gmail.com (M.W.); ziaul.h.abbas@ 123456giki.edu.pk (Z.H.A.)
                [2 ]Faculty of Computer Science and Engineering, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
                [3 ]Faculty of Electrical Engineering, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan
                [4 ]Engineering Research Center of Intelligent Perception and Autonomous Control, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; sstu@ 123456bjut.edu.cn
                [5 ]Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
                Author notes
                [* ]Correspondence: ibib@ 123456ntnu.no
                Author information
                https://orcid.org/0000-0002-5339-8943
                https://orcid.org/0000-0003-3836-1373
                https://orcid.org/0000-0003-0814-7544
                https://orcid.org/0000-0003-4466-0089
                https://orcid.org/0000-0002-6220-4119
                https://orcid.org/0000-0003-1252-260X
                Article
                sensors-21-01588
                10.3390/s21051588
                7956621
                33668751
                57942e96-b959-489d-a6f8-116da57aaa4b
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 19 January 2021
                : 22 February 2021
                Categories
                Article

                Biomedical engineering
                road safety,vehicular adhoc networks,broadcast storms,clusters,communication congestion,flooding

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