Data Downloading on the Sparse Coverage-Based Wireless Networks
Infostation, hotspot, and drive-thru internet are examples of sparse coverage-based wireless networks. These wireless communication networks provide low-cost, delay insensitive high data rate services intermittently with discontinuous coverage. Radio propagation parameters, velocity of the user, dis...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2010/843272 |
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| _version_ | 1850220805381685248 |
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| author | Helal Chowdhury Janne Lehtomäki Juha-Pekka Mäkelä Sastri Kota |
| author_facet | Helal Chowdhury Janne Lehtomäki Juha-Pekka Mäkelä Sastri Kota |
| author_sort | Helal Chowdhury |
| collection | DOAJ |
| description | Infostation, hotspot, and drive-thru internet are examples of sparse coverage-based wireless networks. These wireless communication networks provide low-cost, delay insensitive high data rate services intermittently with
discontinuous coverage. Radio propagation parameters, velocity of the user, distance between the user, and access
point are the key factors that affect the throughput and the amount of information downloaded from such sparse
coverage-based wireless networks. To evaluate the performance of such wireless communication networks analytically
the impact of above mentioned factors can be modeled with simplified relationship model such as received
signal strength versus distance or signal to noise ratio versus throughput. In the paper, we exploit the relationship between
throughput and distance and develop two throughput distance relationship models to evaluate the performance of
multirate wireless networks. These two throughput distance relationship models are used in calculation of average
throughput as well as downloaded file size. Numerical values are presented for the IEEE 802.11n standard. The
numerical results verify that the new proposed technique can be used as an alternative to the simulations to evaluate
the performance of sparse coverage-based wireless networks. |
| format | Article |
| id | doaj-art-7c6c8092c2a247ccb70d57e59620eedb |
| institution | OA Journals |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-7c6c8092c2a247ccb70d57e59620eedb2025-08-20T02:06:56ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552010-01-01201010.1155/2010/843272843272Data Downloading on the Sparse Coverage-Based Wireless NetworksHelal Chowdhury0Janne Lehtomäki1Juha-Pekka Mäkelä2Sastri Kota3Centre for Wireless Communications, University of Oulu, 90014 Oulu, FinlandCentre for Wireless Communications, University of Oulu, 90014 Oulu, FinlandCentre for Wireless Communications, University of Oulu, 90014 Oulu, FinlandCentre for Wireless Communications, University of Oulu, 90014 Oulu, FinlandInfostation, hotspot, and drive-thru internet are examples of sparse coverage-based wireless networks. These wireless communication networks provide low-cost, delay insensitive high data rate services intermittently with discontinuous coverage. Radio propagation parameters, velocity of the user, distance between the user, and access point are the key factors that affect the throughput and the amount of information downloaded from such sparse coverage-based wireless networks. To evaluate the performance of such wireless communication networks analytically the impact of above mentioned factors can be modeled with simplified relationship model such as received signal strength versus distance or signal to noise ratio versus throughput. In the paper, we exploit the relationship between throughput and distance and develop two throughput distance relationship models to evaluate the performance of multirate wireless networks. These two throughput distance relationship models are used in calculation of average throughput as well as downloaded file size. Numerical values are presented for the IEEE 802.11n standard. The numerical results verify that the new proposed technique can be used as an alternative to the simulations to evaluate the performance of sparse coverage-based wireless networks.http://dx.doi.org/10.1155/2010/843272 |
| spellingShingle | Helal Chowdhury Janne Lehtomäki Juha-Pekka Mäkelä Sastri Kota Data Downloading on the Sparse Coverage-Based Wireless Networks Journal of Electrical and Computer Engineering |
| title | Data Downloading on the Sparse Coverage-Based Wireless Networks |
| title_full | Data Downloading on the Sparse Coverage-Based Wireless Networks |
| title_fullStr | Data Downloading on the Sparse Coverage-Based Wireless Networks |
| title_full_unstemmed | Data Downloading on the Sparse Coverage-Based Wireless Networks |
| title_short | Data Downloading on the Sparse Coverage-Based Wireless Networks |
| title_sort | data downloading on the sparse coverage based wireless networks |
| url | http://dx.doi.org/10.1155/2010/843272 |
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