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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hossain, M.S. Atiquzzaman, M. Ivancic, W. |
| Copyright Year | 2011 |
| Description | Author affiliation: NASA Glenn Research Center, Cleveland, OH 44135 (Ivancic, W.) || School of Computer Science, University of Oklahoma, Norman, OK 73019 (Hossain, M.S.; Atiquzzaman, M.) |
| Abstract | Previous studies have analyzed cost and performance of multihomed network mobility management protocols, such as, Seamless IP diversity-based Network Mobility management scheme (SINEMO). However, increase in the number of mobile nodes raises scalability issues which can result in its performance degradation. In this paper, we have developed analytical models for scalability analysis of SINEMO in terms of network size, mobility rate, and traffic rate. We have used numerical results to validate the analytical model and compared scalability with basic Network Mobility (NEMO) protocol. Results show that the network-mobility protocols exhibit asymptotically identical scalability for the network though the mobility agent of SINEMO scales better than NEMO. This scalability model can help in quantitative scalability analysis of other mobility protocols, thereby visualizing the effects of future network expansion on the performance of the mobility protocols. |
| Starting Page | 513 |
| Ending Page | 517 |
| File Size | 240377 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467300391 |
| e-ISBN | 9781467300407 |
| e-ISBN | 9781467300384 |
| DOI | 10.1109/GLOCOMW.2011.6162502 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Protocols Multihoming Scalability Mathematical Modeling Network Mobility Mobile communication IP networks Scalability analysis Mobility Protocols Mobile computing Multi-layer neural network |
| Content Type | Text |
| Resource Type | Article |
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