A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area
Blind spots (or bad sampling points) in indoor areas are the positions where no signal exists (or the signal is too weak) and the existence of a receiver within the blind spot decelerates the performance of the communication system. Therefore, it is one of the fundamental requirements to eliminate t...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2013/509878 |
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| author | A. W. Reza K. Dimyati K. A. Noordin M. J. Islam M. S. Sarker H. Ramiah |
| author_facet | A. W. Reza K. Dimyati K. A. Noordin M. J. Islam M. S. Sarker H. Ramiah |
| author_sort | A. W. Reza |
| collection | DOAJ |
| description | Blind spots (or bad sampling points) in indoor areas are the positions where no signal exists (or the signal is too weak) and the existence of a receiver within the blind spot decelerates the performance of the communication system. Therefore, it is one of the fundamental requirements to eliminate the blind spots from the indoor area and obtain the maximum coverage while designing the wireless networks. In this regard, this paper combines ray-tracing (RT), genetic algorithm (GA), depth first search (DFS), and branch-and-bound method as a new technique that guarantees the removal of blind spots and subsequently determines the optimal wireless coverage using minimum number of transmitters. The proposed system outperforms the existing techniques in terms of algorithmic complexity and demonstrates that the computation time can be reduced as high as 99% and 75%, respectively, as compared to existing algorithms. Moreover, in terms of experimental analysis, the coverage prediction successfully reaches 99% and, thus, the proposed coverage model effectively guarantees the removal of blind spots. |
| format | Article |
| id | doaj-art-7794476fb8784b06a9f3d0a88201cd7e |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-7794476fb8784b06a9f3d0a88201cd7e2025-02-03T05:47:14ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772013-01-01201310.1155/2013/509878509878A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor AreaA. W. Reza0K. Dimyati1K. A. Noordin2M. J. Islam3M. S. Sarker4H. Ramiah5Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Electrical and Electronic Engineering, Faculty of Engineering, National Defence University of Malaysia, 57000 Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaBlind spots (or bad sampling points) in indoor areas are the positions where no signal exists (or the signal is too weak) and the existence of a receiver within the blind spot decelerates the performance of the communication system. Therefore, it is one of the fundamental requirements to eliminate the blind spots from the indoor area and obtain the maximum coverage while designing the wireless networks. In this regard, this paper combines ray-tracing (RT), genetic algorithm (GA), depth first search (DFS), and branch-and-bound method as a new technique that guarantees the removal of blind spots and subsequently determines the optimal wireless coverage using minimum number of transmitters. The proposed system outperforms the existing techniques in terms of algorithmic complexity and demonstrates that the computation time can be reduced as high as 99% and 75%, respectively, as compared to existing algorithms. Moreover, in terms of experimental analysis, the coverage prediction successfully reaches 99% and, thus, the proposed coverage model effectively guarantees the removal of blind spots.http://dx.doi.org/10.1155/2013/509878 |
| spellingShingle | A. W. Reza K. Dimyati K. A. Noordin M. J. Islam M. S. Sarker H. Ramiah A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area International Journal of Antennas and Propagation |
| title | A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area |
| title_full | A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area |
| title_fullStr | A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area |
| title_full_unstemmed | A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area |
| title_short | A New Technique of Removing Blind Spots to Optimize Wireless Coverage in Indoor Area |
| title_sort | new technique of removing blind spots to optimize wireless coverage in indoor area |
| url | http://dx.doi.org/10.1155/2013/509878 |
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