Experimental Evaluation of Decision Criteria for WLAN Handover : Signal Strength and Frame Retransmission
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- TSUKAMOTO Kazuya
- Dept. of Computer Science and Electronics, Kyushu Institute of Technology
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- YAMAGUCHI Takeshi
- Dept. of Computer Science and Electronics, Kyushu Institute of Technology
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- KASHIHARA Shigeru
- Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
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- OIE Yuji
- Dept. of Computer Science and Electronics, Kyushu Institute of Technology
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Abstract
In ubiquitous networks, Mobile Nodes (MNs) often suffer from performance degradation due to the following two reasons: (1) reduction of signal strength by the movement of an MN and intervening objects, and (2) radio interference with other WLANs. Therefore, handover initiation based on quick and reliable detection of the deterioration in a wireless link condition arising from the above two reasons is essential for achieving seamless handover. In previous studies, we focused on a handover decision criterion and described the problems related to the two existing decision criteria. Furthermore, we showed the effectiveness of the number of frame retransmissions through simulation experiments. However, a comparison of the signal strength and the number of frame retransmissions could not be examined due to the unreliability of the signal strength in simulations. Therefore, in the present paper, by employing FTP and VoIP applications, we compare the signal strength and the number of frame retransmissions as a handover decision criterion with experiments in terms of (1) and (2) in a real environment. Finally, we clarify the problem of the signal strength in contrast to the effectiveness of the number of frame retransmissions as a handover decision criterion.
Journal
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- IEICE Trans. Commun., B
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IEICE Trans. Commun., B 90 (12), 3579-3590, 2007-12-01
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1570572702615036928
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- NII Article ID
- 110007538391
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- NII Book ID
- AA10826261
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- ISSN
- 09168516
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- Text Lang
- en
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- Data Source
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- CiNii Articles