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DOI: 10.14569/IJACSA.2012.031127
PDF

Minimization of Call Blocking Probability using Mobile Node velocity

Author 1: Suman Kumar Sikdar
Author 2: Uttam Kumar Kundu,
Author 3: Debabrata Sarddar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 11, 2012.

  • Abstract and Keywords
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Abstract: Due to rapid growth in IEEE 802.11 based Wireless Local Area Networks (WLAN), handoff has become a burning issue. A mobile Node (MN) requires handoff when it travels out of the coverage area of its current access point (AP) and tries to associate with another AP. But handoff delays provide a serious barrier for such services to be made available to mobile platforms. Throughout the last few years there has been plenty of research aimed towards reducing the handoff delay incurred in the various levels of wireless communication.In this article, we propose a received signal strength measurement based handoff technique to improve handoff probability. By calculating the speed of MN (Mobile Node) and signaling delay information we try to take the right decision of handoff initiation time. Our theoretical analysis and simulation results show that by taking the proper decision for handoff we can effectively reduce false handoff initiation probability and unnecessary traffic load causing packet loss and call blocking.

Keywords: component; Next Generation Wireless Systems (NGWS); Handoff; BS (Base Station); MN (Mobile Node); RSS (Received signal strength); IEEE802.11

Suman Kumar Sikdar, Uttam Kumar Kundu, and Debabrata Sarddar, “Minimization of Call Blocking Probability using Mobile Node velocity” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031127

@article{Sikdar2012,
title = {Minimization of Call Blocking Probability using Mobile Node velocity},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031127},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031127},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {11},
author = {Suman Kumar Sikdar and Uttam Kumar Kundu, and Debabrata Sarddar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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