VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications
The Internet of vehicles incorporates multiple access networks and technologies to connect vehicles on roads. These vehicles usually require the use of individual long-term evolution (LTE) connections to send/receive data to/from a remote server to make smart decisions regarding route planning and d...
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| Format: | Article |
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Elsevier
2018
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| _version_ | 1825721911703764992 |
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| author | Ahmad, Iftikhar Noor, Rafidah Md Ahmedy, Ismail Shah, Syed Adeel Ali Yaqoob, Ibrar Ahmed, Ejaz Imran, Muhammad |
| author_facet | Ahmad, Iftikhar Noor, Rafidah Md Ahmedy, Ismail Shah, Syed Adeel Ali Yaqoob, Ibrar Ahmed, Ejaz Imran, Muhammad |
| author_sort | Ahmad, Iftikhar |
| collection | UM |
| description | The Internet of vehicles incorporates multiple access networks and technologies to connect vehicles on roads. These vehicles usually require the use of individual long-term evolution (LTE) connections to send/receive data to/from a remote server to make smart decisions regarding route planning and driving. An increasing number of vehicles on the roads may not only overwhelm LTE network usage but also incur added cost. Clustering helps minimize LTE usage, but the high speed of vehicles renders connections unstable and unreliable not only among vehicles but also between vehicles and the LTE network. Moreover, non-cooperative behavior among vehicles within a cluster is a bottleneck in sharing costly data acquired from the Internet. To address these issues, we propose a novel destination- and interest-aware clustering (DIAC) mechanism. DIAC primarily incorporates a strategic game-theoretic algorithm and a self-location calculation algorithm. The former allows vehicles to participate/cooperate and enforces a fair-use policy among the cluster members (CMs), whereas the latter enables CMs to calculate their location coordinates in the absence of a global positioning system under an urban topography. DIAC strives to reduce the frequency of link failures not only among vehicles but also between each vehicle and the 3G/LTE network. The mechanism also considers vehicle mobility and LTE link quality and exploits common interests among vehicles in the cluster formation phase. The performance of the DIAC mechanism is validated through extensive simulations, whose results demonstrate that the performance of the proposed mechanism is superior to that of similar and existing approaches. |
| first_indexed | 2024-03-06T05:57:34Z |
| format | Article |
| id | um.eprints-22647 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:57:34Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-226472019-10-04T08:00:06Z http://eprints.um.edu.my/22647/ VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications Ahmad, Iftikhar Noor, Rafidah Md Ahmedy, Ismail Shah, Syed Adeel Ali Yaqoob, Ibrar Ahmed, Ejaz Imran, Muhammad QA75 Electronic computers. Computer science The Internet of vehicles incorporates multiple access networks and technologies to connect vehicles on roads. These vehicles usually require the use of individual long-term evolution (LTE) connections to send/receive data to/from a remote server to make smart decisions regarding route planning and driving. An increasing number of vehicles on the roads may not only overwhelm LTE network usage but also incur added cost. Clustering helps minimize LTE usage, but the high speed of vehicles renders connections unstable and unreliable not only among vehicles but also between vehicles and the LTE network. Moreover, non-cooperative behavior among vehicles within a cluster is a bottleneck in sharing costly data acquired from the Internet. To address these issues, we propose a novel destination- and interest-aware clustering (DIAC) mechanism. DIAC primarily incorporates a strategic game-theoretic algorithm and a self-location calculation algorithm. The former allows vehicles to participate/cooperate and enforces a fair-use policy among the cluster members (CMs), whereas the latter enables CMs to calculate their location coordinates in the absence of a global positioning system under an urban topography. DIAC strives to reduce the frequency of link failures not only among vehicles but also between each vehicle and the 3G/LTE network. The mechanism also considers vehicle mobility and LTE link quality and exploits common interests among vehicles in the cluster formation phase. The performance of the DIAC mechanism is validated through extensive simulations, whose results demonstrate that the performance of the proposed mechanism is superior to that of similar and existing approaches. Elsevier 2018 Article PeerReviewed Ahmad, Iftikhar and Noor, Rafidah Md and Ahmedy, Ismail and Shah, Syed Adeel Ali and Yaqoob, Ibrar and Ahmed, Ejaz and Imran, Muhammad (2018) VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications. Computer Networks, 145. pp. 128-140. ISSN 1389-1286, DOI https://doi.org/10.1016/j.comnet.2018.08.018 <https://doi.org/10.1016/j.comnet.2018.08.018>. https://doi.org/10.1016/j.comnet.2018.08.018 doi:10.1016/j.comnet.2018.08.018 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad, Iftikhar Noor, Rafidah Md Ahmedy, Ismail Shah, Syed Adeel Ali Yaqoob, Ibrar Ahmed, Ejaz Imran, Muhammad VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications |
| title | VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications |
| title_full | VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications |
| title_fullStr | VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications |
| title_full_unstemmed | VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications |
| title_short | VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications |
| title_sort | vanet lte based heterogeneous vehicular clustering for driving assistance and route planning applications |
| topic | QA75 Electronic computers. Computer science |
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