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Exploring efficient seamless handover in VANET systems using network dwell time
Vehicular ad hoc networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular ad hoc networks are attracting greater commercial interest, current research has not ade...
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Published in: | EURASIP journal on wireless communications and networking 2014-12, Vol.2014 (1), p.1-19, Article 227 |
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description | Vehicular
ad hoc
networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular
ad hoc
networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in vehicular
ad hoc
network handover techniques. Therefore, in order to have the best practice for vehicular
ad hoc
network services, it is necessary to have seamless connectivity for optimal coverage and ideal channel utilisation. Due to the high velocity of vehicles and smaller coverage distances, there are serious challenges in providing seamless handover from one roadside unit (RSU) to another. Though other research efforts have looked at many issues in vehicular
ad hoc
networks (VANETs), very few research work have looked at handover issues. Most literature assume that handover does not take a significant time and does not affect the overall VANET operation. In our previous work, we started to investigate these issues. This journal provides a more comprehensive analysis involving the beacon frequency, the size of beacon and the velocity of the vehicle. We used some of the concepts of Y-Comm architecture such as network dwell time (NDT), time before handover (
T
BH
) and exit time (ET) to provide a framework to investigate handover issues. Further simulation studies were used to investigate the relation between beaconing, velocity and the network dwell time. Our results show that there is a need to understand the cumulative effect of beaconing in addition to the probability of successful reception as well as how these probability distributions are affected by the velocity of the vehicle. This provides more insight into how to support life critical applications using proactive handover techniques. |
doi_str_mv | 10.1186/1687-1499-2014-227 |
format | article |
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ad hoc
networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular
ad hoc
networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in vehicular
ad hoc
network handover techniques. Therefore, in order to have the best practice for vehicular
ad hoc
network services, it is necessary to have seamless connectivity for optimal coverage and ideal channel utilisation. Due to the high velocity of vehicles and smaller coverage distances, there are serious challenges in providing seamless handover from one roadside unit (RSU) to another. Though other research efforts have looked at many issues in vehicular
ad hoc
networks (VANETs), very few research work have looked at handover issues. Most literature assume that handover does not take a significant time and does not affect the overall VANET operation. In our previous work, we started to investigate these issues. This journal provides a more comprehensive analysis involving the beacon frequency, the size of beacon and the velocity of the vehicle. We used some of the concepts of Y-Comm architecture such as network dwell time (NDT), time before handover (
T
BH
) and exit time (ET) to provide a framework to investigate handover issues. Further simulation studies were used to investigate the relation between beaconing, velocity and the network dwell time. Our results show that there is a need to understand the cumulative effect of beaconing in addition to the probability of successful reception as well as how these probability distributions are affected by the velocity of the vehicle. This provides more insight into how to support life critical applications using proactive handover techniques.</description><identifier>ISSN: 1687-1499</identifier><identifier>ISSN: 1687-1472</identifier><identifier>EISSN: 1687-1499</identifier><identifier>DOI: 10.1186/1687-1499-2014-227</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Ad hoc networks ; Beacons ; Channels ; Communications Engineering ; Dwell time ; Engineering ; Information Systems Applications (incl.Internet) ; Intelligent transport systems ; Network Routing and Communication Algorithm for Intelligent Transportation Systems 2014 ; Networks ; Nondestructive testing ; Roadsides ; Signal,Image and Speech Processing ; Vehicles</subject><ispartof>EURASIP journal on wireless communications and networking, 2014-12, Vol.2014 (1), p.1-19, Article 227</ispartof><rights>Ghosh et al.; licensee Springer. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.</rights><rights>The Author(s) 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-ea33434b091964b274a6219e342212210efdc2958c3afc248505ff91829e93613</citedby><cites>FETCH-LOGICAL-c396t-ea33434b091964b274a6219e342212210efdc2958c3afc248505ff91829e93613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1718094430/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1718094430?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,75126</link.rule.ids></links><search><creatorcontrib>Ghosh, Arindam</creatorcontrib><creatorcontrib>Paranthaman, Vishnu Vardhan</creatorcontrib><creatorcontrib>Mapp, Glenford</creatorcontrib><creatorcontrib>Gemikonakli, Orhan</creatorcontrib><title>Exploring efficient seamless handover in VANET systems using network dwell time</title><title>EURASIP journal on wireless communications and networking</title><addtitle>J Wireless Com Network</addtitle><description>Vehicular
ad hoc
networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular
ad hoc
networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in vehicular
ad hoc
network handover techniques. Therefore, in order to have the best practice for vehicular
ad hoc
network services, it is necessary to have seamless connectivity for optimal coverage and ideal channel utilisation. Due to the high velocity of vehicles and smaller coverage distances, there are serious challenges in providing seamless handover from one roadside unit (RSU) to another. Though other research efforts have looked at many issues in vehicular
ad hoc
networks (VANETs), very few research work have looked at handover issues. Most literature assume that handover does not take a significant time and does not affect the overall VANET operation. In our previous work, we started to investigate these issues. This journal provides a more comprehensive analysis involving the beacon frequency, the size of beacon and the velocity of the vehicle. We used some of the concepts of Y-Comm architecture such as network dwell time (NDT), time before handover (
T
BH
) and exit time (ET) to provide a framework to investigate handover issues. Further simulation studies were used to investigate the relation between beaconing, velocity and the network dwell time. Our results show that there is a need to understand the cumulative effect of beaconing in addition to the probability of successful reception as well as how these probability distributions are affected by the velocity of the vehicle. This provides more insight into how to support life critical applications using proactive handover techniques.</description><subject>Ad hoc networks</subject><subject>Beacons</subject><subject>Channels</subject><subject>Communications Engineering</subject><subject>Dwell time</subject><subject>Engineering</subject><subject>Information Systems Applications (incl.Internet)</subject><subject>Intelligent transport systems</subject><subject>Network Routing and Communication Algorithm for Intelligent Transportation Systems 2014</subject><subject>Networks</subject><subject>Nondestructive testing</subject><subject>Roadsides</subject><subject>Signal,Image and Speech Processing</subject><subject>Vehicles</subject><issn>1687-1499</issn><issn>1687-1472</issn><issn>1687-1499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp1kFtLw0AQhRdRsFb_gE8LvvgS3VuT7GMp9QLFvlRfl20yq6m5uZNY--_dUJEiCAMzDOfMHD5CLjm74TyNb3mcJhFXWkeCcRUJkRyR0e_y-GA-JWeIG8akVFqMyHL-1ZaNL-pXCs4VWQF1RxFsVQIifbN13nyCp0VNX6ZP8xXFHXZQIe1xsNTQbRv_TvMtlCXtigrOyYmzJcLFTx-T57v5avYQLZb3j7PpIsqkjrsIbPgv1ZpprmO1FomyseAapBKCh2Lg8kzoSZpJ6zKh0gmbOKd5KjRoGXM5Jtf7u61vPnrAzlQFZiGFraHp0fA4STQTQiVBevVHuml6X4d0hic8ZVopyYJK7FWZbxA9ONP6orJ-ZzgzA2MzIDQDQjMwNoFxMMm9CdsBIfiD0_-7vgEV-3y4</recordid><startdate>20141230</startdate><enddate>20141230</enddate><creator>Ghosh, Arindam</creator><creator>Paranthaman, Vishnu Vardhan</creator><creator>Mapp, Glenford</creator><creator>Gemikonakli, Orhan</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20141230</creationdate><title>Exploring efficient seamless handover in VANET systems using network dwell time</title><author>Ghosh, Arindam ; Paranthaman, Vishnu Vardhan ; Mapp, Glenford ; Gemikonakli, Orhan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-ea33434b091964b274a6219e342212210efdc2958c3afc248505ff91829e93613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Ad hoc networks</topic><topic>Beacons</topic><topic>Channels</topic><topic>Communications Engineering</topic><topic>Dwell time</topic><topic>Engineering</topic><topic>Information Systems Applications (incl.Internet)</topic><topic>Intelligent transport systems</topic><topic>Network Routing and Communication Algorithm for Intelligent Transportation Systems 2014</topic><topic>Networks</topic><topic>Nondestructive testing</topic><topic>Roadsides</topic><topic>Signal,Image and Speech Processing</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghosh, Arindam</creatorcontrib><creatorcontrib>Paranthaman, Vishnu Vardhan</creatorcontrib><creatorcontrib>Mapp, Glenford</creatorcontrib><creatorcontrib>Gemikonakli, Orhan</creatorcontrib><collection>SpringerOpen</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</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>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>EURASIP journal on wireless communications and networking</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghosh, Arindam</au><au>Paranthaman, Vishnu Vardhan</au><au>Mapp, Glenford</au><au>Gemikonakli, Orhan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring efficient seamless handover in VANET systems using network dwell time</atitle><jtitle>EURASIP journal on wireless communications and networking</jtitle><stitle>J Wireless Com Network</stitle><date>2014-12-30</date><risdate>2014</risdate><volume>2014</volume><issue>1</issue><spage>1</spage><epage>19</epage><pages>1-19</pages><artnum>227</artnum><issn>1687-1499</issn><issn>1687-1472</issn><eissn>1687-1499</eissn><abstract>Vehicular
ad hoc
networks are a long-term solution contributing significantly towards intelligent transport systems (ITS) in providing access to critical life-safety applications and services. Although vehicular
ad hoc
networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in vehicular
ad hoc
network handover techniques. Therefore, in order to have the best practice for vehicular
ad hoc
network services, it is necessary to have seamless connectivity for optimal coverage and ideal channel utilisation. Due to the high velocity of vehicles and smaller coverage distances, there are serious challenges in providing seamless handover from one roadside unit (RSU) to another. Though other research efforts have looked at many issues in vehicular
ad hoc
networks (VANETs), very few research work have looked at handover issues. Most literature assume that handover does not take a significant time and does not affect the overall VANET operation. In our previous work, we started to investigate these issues. This journal provides a more comprehensive analysis involving the beacon frequency, the size of beacon and the velocity of the vehicle. We used some of the concepts of Y-Comm architecture such as network dwell time (NDT), time before handover (
T
BH
) and exit time (ET) to provide a framework to investigate handover issues. Further simulation studies were used to investigate the relation between beaconing, velocity and the network dwell time. Our results show that there is a need to understand the cumulative effect of beaconing in addition to the probability of successful reception as well as how these probability distributions are affected by the velocity of the vehicle. This provides more insight into how to support life critical applications using proactive handover techniques.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1186/1687-1499-2014-227</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Ad hoc networks Beacons Channels Communications Engineering Dwell time Engineering Information Systems Applications (incl.Internet) Intelligent transport systems Network Routing and Communication Algorithm for Intelligent Transportation Systems 2014 Networks Nondestructive testing Roadsides Signal,Image and Speech Processing Vehicles |
title | Exploring efficient seamless handover in VANET systems using network dwell time |
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