Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks
Developing applications, particularly real-time applications, for wireless vehicular ad hoc networks (VANETs) requires a reasonable assurance of the likely performance of the network, at the least in terms of packet loss ratios and end-to-end delay. Because wireless propagation strongly influences p...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2011-09, Vol.12 (3), p.705-716 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 716 |
---|---|
container_issue | 3 |
container_start_page | 705 |
container_title | IEEE transactions on intelligent transportation systems |
container_volume | 12 |
creator | Hosseini Tabatabaei, Seyed A. Fleury, M. Qadri, N. N. Ghanbari, M. |
description | Developing applications, particularly real-time applications, for wireless vehicular ad hoc networks (VANETs) requires a reasonable assurance of the likely performance of the network, at the least in terms of packet loss ratios and end-to-end delay. Because wireless propagation strongly influences performance, particularly in an urban environment, this paper improves on simpler propagation models for simulations by augmenting ray-tracing-derived models of propagation. In the non-line-of-sight (NLOS) component, the propagation distance is more closely calculated according to the reflection distance, the effect of roadside obstacles is included, and for the modeling of fast fading, a phase factor is introduced, all without necessarily overly increasing the computational load. In the line-of-sight (LOS) component, as well as the roadside obstacle modeling, single and double reflections from roadside buildings are added to the standard two-ray ground-propagation model, the distribution of vehicles within a street segment is used to more closely model the ground reflection ray, and the reflection coefficient is also accordingly adjusted to account for reflections from vehicles. The results have been compared with widely used measurement studies of city streets in the literature, which have confirmed the overall advantage of the improvements, particularly in the case of the NLOS component. A simulation case study shows that, in general, optimistic performance predictions of packet loss occur with the two-ray ground-propagation model when indiscriminately applied. This paper therefore represents a way forward for VANET wireless channel modeling in simulations. |
doi_str_mv | 10.1109/TITS.2011.2143707 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_919933213</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5766750</ieee_id><sourcerecordid>919933213</sourcerecordid><originalsourceid>FETCH-LOGICAL-c324t-9e062d9393e56147885c336c95a6d90975e065f46b42acee5326c5c05c694c7f3</originalsourceid><addsrcrecordid>eNpdkDtPwzAUhS0EEqXwAxCLxcKU4kfsxGNVAa1UHoKW1XIdp6QkdrGTIv49jloxMN2ro-_cxwHgEqMRxkjcLmaLtxFBGI8ITmmGsiMwwIzlCUKYH_c9SROBGDoFZyFsopoyjAfgddZsvdtVdg1fvNuqtWorZ-GjK0zdi5WFS79SFt7ZXeWdbYxtAyydh-_mo9JdrTwcF3DqNHwy7bfzn-EcnJSqDubiUIdgeX-3mEyT-fPDbDKeJ5qStE2EQZwUggpqGMdpludMU8q1YIoXAomMRYCVKV-lRGljGCVcM42Y5iLVWUmH4GY_Nz7w1ZnQyqYK2tS1ssZ1QQosBKUE00he_yM3rvM2HifznMftXOAI4T2kvQvBm1JufdUo_yMxkn3Gss9Y9hnLQ8bRc7X3VMaYP55lnGcM0V8Ganav</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>886561691</pqid></control><display><type>article</type><title>Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks</title><source>IEEE Electronic Library (IEL)</source><creator>Hosseini Tabatabaei, Seyed A. ; Fleury, M. ; Qadri, N. N. ; Ghanbari, M.</creator><creatorcontrib>Hosseini Tabatabaei, Seyed A. ; Fleury, M. ; Qadri, N. N. ; Ghanbari, M.</creatorcontrib><description>Developing applications, particularly real-time applications, for wireless vehicular ad hoc networks (VANETs) requires a reasonable assurance of the likely performance of the network, at the least in terms of packet loss ratios and end-to-end delay. Because wireless propagation strongly influences performance, particularly in an urban environment, this paper improves on simpler propagation models for simulations by augmenting ray-tracing-derived models of propagation. In the non-line-of-sight (NLOS) component, the propagation distance is more closely calculated according to the reflection distance, the effect of roadside obstacles is included, and for the modeling of fast fading, a phase factor is introduced, all without necessarily overly increasing the computational load. In the line-of-sight (LOS) component, as well as the roadside obstacle modeling, single and double reflections from roadside buildings are added to the standard two-ray ground-propagation model, the distribution of vehicles within a street segment is used to more closely model the ground reflection ray, and the reflection coefficient is also accordingly adjusted to account for reflections from vehicles. The results have been compared with widely used measurement studies of city streets in the literature, which have confirmed the overall advantage of the improvements, particularly in the case of the NLOS component. A simulation case study shows that, in general, optimistic performance predictions of packet loss occur with the two-ray ground-propagation model when indiscriminately applied. This paper therefore represents a way forward for VANET wireless channel modeling in simulations.</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/TITS.2011.2143707</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Ad hoc networks ; Buildings ; Computational modeling ; Computer simulation ; Diffraction ; Equations ; Mathematical model ; Mathematical models ; Obstacles ; Propagation ; Reflection ; Roadsides ; Simulation ; Streets ; Studies ; urban environment ; Urban environments ; vehicle-to-vehicle communication ; Vehicles ; wireless propagation</subject><ispartof>IEEE transactions on intelligent transportation systems, 2011-09, Vol.12 (3), p.705-716</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Sep 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-9e062d9393e56147885c336c95a6d90975e065f46b42acee5326c5c05c694c7f3</citedby><cites>FETCH-LOGICAL-c324t-9e062d9393e56147885c336c95a6d90975e065f46b42acee5326c5c05c694c7f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5766750$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5766750$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hosseini Tabatabaei, Seyed A.</creatorcontrib><creatorcontrib>Fleury, M.</creatorcontrib><creatorcontrib>Qadri, N. N.</creatorcontrib><creatorcontrib>Ghanbari, M.</creatorcontrib><title>Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><description>Developing applications, particularly real-time applications, for wireless vehicular ad hoc networks (VANETs) requires a reasonable assurance of the likely performance of the network, at the least in terms of packet loss ratios and end-to-end delay. Because wireless propagation strongly influences performance, particularly in an urban environment, this paper improves on simpler propagation models for simulations by augmenting ray-tracing-derived models of propagation. In the non-line-of-sight (NLOS) component, the propagation distance is more closely calculated according to the reflection distance, the effect of roadside obstacles is included, and for the modeling of fast fading, a phase factor is introduced, all without necessarily overly increasing the computational load. In the line-of-sight (LOS) component, as well as the roadside obstacle modeling, single and double reflections from roadside buildings are added to the standard two-ray ground-propagation model, the distribution of vehicles within a street segment is used to more closely model the ground reflection ray, and the reflection coefficient is also accordingly adjusted to account for reflections from vehicles. The results have been compared with widely used measurement studies of city streets in the literature, which have confirmed the overall advantage of the improvements, particularly in the case of the NLOS component. A simulation case study shows that, in general, optimistic performance predictions of packet loss occur with the two-ray ground-propagation model when indiscriminately applied. This paper therefore represents a way forward for VANET wireless channel modeling in simulations.</description><subject>Ad hoc networks</subject><subject>Buildings</subject><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>Diffraction</subject><subject>Equations</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>Obstacles</subject><subject>Propagation</subject><subject>Reflection</subject><subject>Roadsides</subject><subject>Simulation</subject><subject>Streets</subject><subject>Studies</subject><subject>urban environment</subject><subject>Urban environments</subject><subject>vehicle-to-vehicle communication</subject><subject>Vehicles</subject><subject>wireless propagation</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkDtPwzAUhS0EEqXwAxCLxcKU4kfsxGNVAa1UHoKW1XIdp6QkdrGTIv49jloxMN2ro-_cxwHgEqMRxkjcLmaLtxFBGI8ITmmGsiMwwIzlCUKYH_c9SROBGDoFZyFsopoyjAfgddZsvdtVdg1fvNuqtWorZ-GjK0zdi5WFS79SFt7ZXeWdbYxtAyydh-_mo9JdrTwcF3DqNHwy7bfzn-EcnJSqDubiUIdgeX-3mEyT-fPDbDKeJ5qStE2EQZwUggpqGMdpludMU8q1YIoXAomMRYCVKV-lRGljGCVcM42Y5iLVWUmH4GY_Nz7w1ZnQyqYK2tS1ssZ1QQosBKUE00he_yM3rvM2HifznMftXOAI4T2kvQvBm1JufdUo_yMxkn3Gss9Y9hnLQ8bRc7X3VMaYP55lnGcM0V8Ganav</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Hosseini Tabatabaei, Seyed A.</creator><creator>Fleury, M.</creator><creator>Qadri, N. N.</creator><creator>Ghanbari, M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope></search><sort><creationdate>201109</creationdate><title>Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks</title><author>Hosseini Tabatabaei, Seyed A. ; Fleury, M. ; Qadri, N. N. ; Ghanbari, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c324t-9e062d9393e56147885c336c95a6d90975e065f46b42acee5326c5c05c694c7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Ad hoc networks</topic><topic>Buildings</topic><topic>Computational modeling</topic><topic>Computer simulation</topic><topic>Diffraction</topic><topic>Equations</topic><topic>Mathematical model</topic><topic>Mathematical models</topic><topic>Obstacles</topic><topic>Propagation</topic><topic>Reflection</topic><topic>Roadsides</topic><topic>Simulation</topic><topic>Streets</topic><topic>Studies</topic><topic>urban environment</topic><topic>Urban environments</topic><topic>vehicle-to-vehicle communication</topic><topic>Vehicles</topic><topic>wireless propagation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hosseini Tabatabaei, Seyed A.</creatorcontrib><creatorcontrib>Fleury, M.</creatorcontrib><creatorcontrib>Qadri, N. N.</creatorcontrib><creatorcontrib>Ghanbari, M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on intelligent transportation systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hosseini Tabatabaei, Seyed A.</au><au>Fleury, M.</au><au>Qadri, N. N.</au><au>Ghanbari, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks</atitle><jtitle>IEEE transactions on intelligent transportation systems</jtitle><stitle>TITS</stitle><date>2011-09</date><risdate>2011</risdate><volume>12</volume><issue>3</issue><spage>705</spage><epage>716</epage><pages>705-716</pages><issn>1524-9050</issn><eissn>1558-0016</eissn><coden>ITISFG</coden><abstract>Developing applications, particularly real-time applications, for wireless vehicular ad hoc networks (VANETs) requires a reasonable assurance of the likely performance of the network, at the least in terms of packet loss ratios and end-to-end delay. Because wireless propagation strongly influences performance, particularly in an urban environment, this paper improves on simpler propagation models for simulations by augmenting ray-tracing-derived models of propagation. In the non-line-of-sight (NLOS) component, the propagation distance is more closely calculated according to the reflection distance, the effect of roadside obstacles is included, and for the modeling of fast fading, a phase factor is introduced, all without necessarily overly increasing the computational load. In the line-of-sight (LOS) component, as well as the roadside obstacle modeling, single and double reflections from roadside buildings are added to the standard two-ray ground-propagation model, the distribution of vehicles within a street segment is used to more closely model the ground reflection ray, and the reflection coefficient is also accordingly adjusted to account for reflections from vehicles. The results have been compared with widely used measurement studies of city streets in the literature, which have confirmed the overall advantage of the improvements, particularly in the case of the NLOS component. A simulation case study shows that, in general, optimistic performance predictions of packet loss occur with the two-ray ground-propagation model when indiscriminately applied. This paper therefore represents a way forward for VANET wireless channel modeling in simulations.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TITS.2011.2143707</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1524-9050 |
ispartof | IEEE transactions on intelligent transportation systems, 2011-09, Vol.12 (3), p.705-716 |
issn | 1524-9050 1558-0016 |
language | eng |
recordid | cdi_proquest_miscellaneous_919933213 |
source | IEEE Electronic Library (IEL) |
subjects | Ad hoc networks Buildings Computational modeling Computer simulation Diffraction Equations Mathematical model Mathematical models Obstacles Propagation Reflection Roadsides Simulation Streets Studies urban environment Urban environments vehicle-to-vehicle communication Vehicles wireless propagation |
title | Improving Propagation Modeling in Urban Environments for Vehicular Ad Hoc Networks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T20%3A05%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improving%20Propagation%20Modeling%20in%20Urban%20Environments%20for%20Vehicular%20Ad%20Hoc%20Networks&rft.jtitle=IEEE%20transactions%20on%20intelligent%20transportation%20systems&rft.au=Hosseini%20Tabatabaei,%20Seyed%20A.&rft.date=2011-09&rft.volume=12&rft.issue=3&rft.spage=705&rft.epage=716&rft.pages=705-716&rft.issn=1524-9050&rft.eissn=1558-0016&rft.coden=ITISFG&rft_id=info:doi/10.1109/TITS.2011.2143707&rft_dat=%3Cproquest_RIE%3E919933213%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=886561691&rft_id=info:pmid/&rft_ieee_id=5766750&rfr_iscdi=true |