THE INFLUENCE OF THE PACKET SIZE ON END TO END DELAY OF VIDEO DATA CODED WITH RAPTORQ CODES AND NETWORK CODES IN VEHICULAR ADHOC NETWORKS Article Swipe
YOU?
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· 2017
· Open Access
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· DOI: https://doi.org/10.21917/ijct.2017.0233
The transmission of video files in Vehicular Adhoc Networks (VANETs) has become very prevalent as commuters prefer video data during travel. The delay with which the data is received becomes very significant as video packets received after their scheduled deadlines become useless. The performance of the network may significantly be reduced on such packet drops especially with mobile networks. This work aims at the reduction of end to end delay of video packets by applying the two techniques- Network Coding (NC) and RaptorQ (RQ) codes. The techniques are implemented in four VANET scenarios and an extensive analysis is done by varying the packet sizes during the transmission of three files of various sizes. The End to End Delay (EED) and Packet Delivery Ratio (PDR) are measured and plotted for all scenarios. The results show the influence of packet size on these parameters considered and the suitability of the techniques applied. The observations also show that RQ proves better for smaller files and NC suits better when the file size increases.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21917/ijct.2017.0233
- https://doi.org/10.21917/ijct.2017.0233
- OA Status
- diamond
- Cited By
- 1
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2792194606
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2792194606Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21917/ijct.2017.0233Digital Object Identifier
- Title
-
THE INFLUENCE OF THE PACKET SIZE ON END TO END DELAY OF VIDEO DATA CODED WITH RAPTORQ CODES AND NETWORK CODES IN VEHICULAR ADHOC NETWORKSWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-09-01Full publication date if available
- Authors
-
Nandhini Vineeth, H S GuruprasadList of authors in order
- Landing page
-
https://doi.org/10.21917/ijct.2017.0233Publisher landing page
- PDF URL
-
https://doi.org/10.21917/ijct.2017.0233Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.21917/ijct.2017.0233Direct OA link when available
- Concepts
-
Computer science, Network packet, End-to-end delay, Computer network, Transmission delay, End-to-end principle, Processing delay, Coding (social sciences), Transmission (telecommunications), Real-time computing, Vehicular ad hoc network, File size, Wireless ad hoc network, Wireless, Telecommunications, Operating system, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2020: 1Per-year citation counts (last 5 years)
- References (count)
-
33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.very | 12, 30 |
| abstract_inverted_index.when | 165 |
| abstract_inverted_index.with | 23, 56 |
| abstract_inverted_index.work | 60 |
| abstract_inverted_index.(EED) | 118 |
| abstract_inverted_index.(PDR) | 123 |
| abstract_inverted_index.Adhoc | 7 |
| abstract_inverted_index.Delay | 117 |
| abstract_inverted_index.Ratio | 122 |
| abstract_inverted_index.VANET | 91 |
| abstract_inverted_index.after | 36 |
| abstract_inverted_index.delay | 22, 69 |
| abstract_inverted_index.drops | 54 |
| abstract_inverted_index.files | 4, 109, 160 |
| abstract_inverted_index.sizes | 103 |
| abstract_inverted_index.suits | 163 |
| abstract_inverted_index.their | 37 |
| abstract_inverted_index.these | 140 |
| abstract_inverted_index.three | 108 |
| abstract_inverted_index.video | 3, 17, 33, 71 |
| abstract_inverted_index.which | 24 |
| abstract_inverted_index.Coding | 79 |
| abstract_inverted_index.Packet | 120 |
| abstract_inverted_index.become | 11, 40 |
| abstract_inverted_index.better | 157, 164 |
| abstract_inverted_index.codes. | 84 |
| abstract_inverted_index.during | 19, 104 |
| abstract_inverted_index.mobile | 57 |
| abstract_inverted_index.packet | 53, 102, 137 |
| abstract_inverted_index.prefer | 16 |
| abstract_inverted_index.proves | 156 |
| abstract_inverted_index.sizes. | 112 |
| abstract_inverted_index.Network | 78 |
| abstract_inverted_index.RaptorQ | 82 |
| abstract_inverted_index.becomes | 29 |
| abstract_inverted_index.network | 46 |
| abstract_inverted_index.packets | 34, 72 |
| abstract_inverted_index.plotted | 127 |
| abstract_inverted_index.reduced | 50 |
| abstract_inverted_index.results | 132 |
| abstract_inverted_index.smaller | 159 |
| abstract_inverted_index.travel. | 20 |
| abstract_inverted_index.various | 111 |
| abstract_inverted_index.varying | 100 |
| abstract_inverted_index.(VANETs) | 9 |
| abstract_inverted_index.Delivery | 121 |
| abstract_inverted_index.Networks | 8 |
| abstract_inverted_index.analysis | 96 |
| abstract_inverted_index.applied. | 149 |
| abstract_inverted_index.applying | 74 |
| abstract_inverted_index.measured | 125 |
| abstract_inverted_index.received | 28, 35 |
| abstract_inverted_index.useless. | 41 |
| abstract_inverted_index.Vehicular | 6 |
| abstract_inverted_index.commuters | 15 |
| abstract_inverted_index.deadlines | 39 |
| abstract_inverted_index.extensive | 95 |
| abstract_inverted_index.influence | 135 |
| abstract_inverted_index.networks. | 58 |
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| abstract_inverted_index.especially | 55 |
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| abstract_inverted_index.significant | 31 |
| abstract_inverted_index.suitability | 145 |
| abstract_inverted_index.techniques- | 77 |
| abstract_inverted_index.observations | 151 |
| abstract_inverted_index.transmission | 1, 106 |
| abstract_inverted_index.significantly | 48 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.550686 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |