Vehicle proximty map formation in VANET
In this paper we introduce the Cluster-Based Beacon Dissemination Process (CB-BDP) based on inter vehicle communication in highway scenarios. This process aims to provide vehicles with a local vehicle proximity map of their vicinity. Based on this map, safety applications can be used for accident pr...
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creator | Allouche, Yair Segal, Michael |
description | In this paper we introduce the Cluster-Based Beacon Dissemination Process (CB-BDP) based on inter vehicle communication in highway scenarios. This process aims to provide vehicles with a local vehicle proximity map of their vicinity. Based on this map, safety applications can be used for accident prevention by informing drivers about evolving hazardous situations. The CB-BDP is designed under the two following objectives. First, since it is used for safety applications, we want the map to be detailed and as accurate as possible. Second, we want the map to be coordinated with nearby vehicles, thereby allowing synchronized and coordinated reactions of nearby vehicles to evolving hazardous situations. In [1] we have introduced a clustering scheme design to provide an optimized topology for an efficient and reliable beacon dissemination process. The topology is adaptive and robust in order to meet the challenging VANET conditions. In this paper, we propose a cluster based aggregation-dissemination beaconing process that uses this optimized topology to distribute the vehicle proximity map. An accurate and detailed map results in a heavy load of beacon messages. Our proposed scheme deals with this load by integrating a contention-free medium access control (MAC) strategy for reliable communication. |
doi_str_mv | 10.1109/COMCAS.2013.6685284 |
format | Conference Proceeding |
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An accurate and detailed map results in a heavy load of beacon messages. Our proposed scheme deals with this load by integrating a contention-free medium access control (MAC) strategy for reliable communication.</description><subject>beacon dissemination</subject><subject>Clustering algorithms</subject><subject>Crosstalk</subject><subject>distributed algorithm</subject><subject>Fading</subject><subject>medium access control</subject><subject>Protocols</subject><subject>self-organizing topology</subject><subject>Signal to noise ratio</subject><subject>Vehicles</subject><isbn>1467357561</isbn><isbn>9781467357562</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj7tOw0AQAI8CCQj5gjTXUdns3tMuLSs8pEAKQtpo7dsTh-LYsl2Qv0eIVNOMRhohVgg5IpSP9fatrj5yBahz5wqrCnMl7tA4r623Dm_Ecpq-AQC9c1YXt-Jhz1-pPbIcxv4ndfNZdjTI2I8dzak_yXSS--p9vbsX15GOEy8vXIjPp_Wufsk22-fXutpkCb2dMyRugi1UJAxl630JHhSEBlVgGz0RsjGkYtMWLaHXIf556JwxgaFReiFW_93EzIdhTB2N58PlRf8Cgpo_QA</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Allouche, Yair</creator><creator>Segal, Michael</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201310</creationdate><title>Vehicle proximty map formation in VANET</title><author>Allouche, Yair ; Segal, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-1aebd582fa1d9c77907020db12de5f7aa1e44a2fbc8ca173df1d9c16644de0b23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>beacon dissemination</topic><topic>Clustering algorithms</topic><topic>Crosstalk</topic><topic>distributed algorithm</topic><topic>Fading</topic><topic>medium access control</topic><topic>Protocols</topic><topic>self-organizing topology</topic><topic>Signal to noise ratio</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Allouche, Yair</creatorcontrib><creatorcontrib>Segal, Michael</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Allouche, Yair</au><au>Segal, Michael</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Vehicle proximty map formation in VANET</atitle><btitle>2013 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS 2013)</btitle><stitle>COMCAS</stitle><date>2013-10</date><risdate>2013</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><eisbn>1467357561</eisbn><eisbn>9781467357562</eisbn><abstract>In this paper we introduce the Cluster-Based Beacon Dissemination Process (CB-BDP) based on inter vehicle communication in highway scenarios. This process aims to provide vehicles with a local vehicle proximity map of their vicinity. Based on this map, safety applications can be used for accident prevention by informing drivers about evolving hazardous situations. The CB-BDP is designed under the two following objectives. First, since it is used for safety applications, we want the map to be detailed and as accurate as possible. Second, we want the map to be coordinated with nearby vehicles, thereby allowing synchronized and coordinated reactions of nearby vehicles to evolving hazardous situations. In [1] we have introduced a clustering scheme design to provide an optimized topology for an efficient and reliable beacon dissemination process. The topology is adaptive and robust in order to meet the challenging VANET conditions. In this paper, we propose a cluster based aggregation-dissemination beaconing process that uses this optimized topology to distribute the vehicle proximity map. An accurate and detailed map results in a heavy load of beacon messages. Our proposed scheme deals with this load by integrating a contention-free medium access control (MAC) strategy for reliable communication.</abstract><pub>IEEE</pub><doi>10.1109/COMCAS.2013.6685284</doi><tpages>5</tpages></addata></record> |
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subjects | beacon dissemination Clustering algorithms Crosstalk distributed algorithm Fading medium access control Protocols self-organizing topology Signal to noise ratio Vehicles |
title | Vehicle proximty map formation in VANET |
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