Research Article
Efficient Routing Protocol for Hand over Delay Minimization in Mobile WiMAX using Concurrent Scanning
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 68 - Issue 22 |
| Published: April 2013 |
| Authors: Arathi R Shankar, Prabhu Raddy, V. Sambasiva Rao |
10.5120/11711-7294
|
Arathi R Shankar, Prabhu Raddy, V. Sambasiva Rao . Efficient Routing Protocol for Hand over Delay Minimization in Mobile WiMAX using Concurrent Scanning. International Journal of Computer Applications. 68, 22 (April 2013), 16-21. DOI=10.5120/11711-7294
@article{ 10.5120/11711-7294,
author = { Arathi R Shankar,Prabhu Raddy,V. Sambasiva Rao },
title = { Efficient Routing Protocol for Hand over Delay Minimization in Mobile WiMAX using Concurrent Scanning },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 68 },
number = { 22 },
pages = { 16-21 },
doi = { 10.5120/11711-7294 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Arathi R Shankar
%A Prabhu Raddy
%A V. Sambasiva Rao
%T Efficient Routing Protocol for Hand over Delay Minimization in Mobile WiMAX using Concurrent Scanning%T
%J International Journal of Computer Applications
%V 68
%N 22
%P 16-21
%R 10.5120/11711-7294
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this article an efficient routing protocol has been identified for real time and non – real time applications. The MS movement direction prediction (MMDP) based MS scanning is implemented to overcome the mobile WiMAX handover issues. Here the authors have used the MMDP method to reduce the number of scanning's required for the handover instead of scanning for all neighboring BSs and suggested that on using the concurrent scanning procedure for the best two TBS high quality hand over support in Mobile WiMAX can be achieved. On performing concurrent scanning of two best target base stations, issues like ideal sectors, network congestion and fast change in RSS are proposed to be minimized. The proposed algorithm targets to meet the quality of service requirements. Performance results for simulation scenarios are presented and discussed.
References
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