Data Interleaving for Congestion Reduction in Mobile Traffic Transmission
In mobile traffic transmission networks, the limited allotted spectrum-involving voice communication and data communication-is faced with the problem of limited bandwidth and consequent traffic congestion. The problem leads to poor communication services like incomplete calls, call drops, slower Int...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2018-05-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct22/files/Pur.pdf
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| _version_ | 1819183142994444288 |
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| author | Hemant Purohit Dmitry Korzun Anton Shabaev Anatoly Voronin |
| author_facet | Hemant Purohit Dmitry Korzun Anton Shabaev Anatoly Voronin |
| author_sort | Hemant Purohit |
| collection | DOAJ |
| description | In mobile traffic transmission networks, the limited allotted spectrum-involving voice communication and data communication-is faced with the problem of limited bandwidth and consequent traffic congestion. The problem leads to poor communication services like incomplete calls, call drops, slower Internet speed, higher cost of internet service, and other undesirable effects by the service providers. The bandwidth saturation and congestion conundrum still remains critical research area, especially with emerging multitude of edge and intermediate Internet devices. Due to introduction of fog computing such devices become active participants of mobile traffic transmission. In this paper, we consider the Data Interleaving Technique in Mobile Communication (DITMC) and introduce the DITMC-based methodology for reducing the data traffic congestion and bandwidth saturation in GSM networks. The methodology is supported with an Erlang formula model, and our simulation experiments indicate the efficiency. We show that the use of methodology can be extended to other Internet problems like multi-path routing of data streams, active subscription control in smart spaces, and possibility to delegate supplementary processing to edge devices. |
| first_indexed | 2024-12-22T22:57:20Z |
| format | Article |
| id | doaj.art-06cbaf31b71b488a9a67b75f4d3349e8 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-22T22:57:20Z |
| publishDate | 2018-05-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-06cbaf31b71b488a9a67b75f4d3349e82022-12-21T18:09:47ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-05-014262221121610.23919/FRUCT.2018.8468262Data Interleaving for Congestion Reduction in Mobile Traffic TransmissionHemant Purohit0Dmitry Korzun1Anton Shabaev2Anatoly Voronin3Jodhpur Institute of Engineering & Technology (JIET), Jodhpur, IndiaPetrozavodsk State University (PetrSU), Petrozavodsk, RussiaPetrozavodsk State University (PetrSU), Petrozavodsk, RussiaPetrozavodsk State University (PetrSU), Petrozavodsk, RussiaIn mobile traffic transmission networks, the limited allotted spectrum-involving voice communication and data communication-is faced with the problem of limited bandwidth and consequent traffic congestion. The problem leads to poor communication services like incomplete calls, call drops, slower Internet speed, higher cost of internet service, and other undesirable effects by the service providers. The bandwidth saturation and congestion conundrum still remains critical research area, especially with emerging multitude of edge and intermediate Internet devices. Due to introduction of fog computing such devices become active participants of mobile traffic transmission. In this paper, we consider the Data Interleaving Technique in Mobile Communication (DITMC) and introduce the DITMC-based methodology for reducing the data traffic congestion and bandwidth saturation in GSM networks. The methodology is supported with an Erlang formula model, and our simulation experiments indicate the efficiency. We show that the use of methodology can be extended to other Internet problems like multi-path routing of data streams, active subscription control in smart spaces, and possibility to delegate supplementary processing to edge devices.https://fruct.org/publications/fruct22/files/Pur.pdf CongestionData InterleavingGSM networkMobile transmissionErlang formula |
| spellingShingle | Hemant Purohit Dmitry Korzun Anton Shabaev Anatoly Voronin Data Interleaving for Congestion Reduction in Mobile Traffic Transmission Proceedings of the XXth Conference of Open Innovations Association FRUCT Congestion Data Interleaving GSM network Mobile transmission Erlang formula |
| title | Data Interleaving for Congestion Reduction in Mobile Traffic Transmission |
| title_full | Data Interleaving for Congestion Reduction in Mobile Traffic Transmission |
| title_fullStr | Data Interleaving for Congestion Reduction in Mobile Traffic Transmission |
| title_full_unstemmed | Data Interleaving for Congestion Reduction in Mobile Traffic Transmission |
| title_short | Data Interleaving for Congestion Reduction in Mobile Traffic Transmission |
| title_sort | data interleaving for congestion reduction in mobile traffic transmission |
| topic | Congestion Data Interleaving GSM network Mobile transmission Erlang formula |
| url | https://fruct.org/publications/fruct22/files/Pur.pdf
|
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