| An analytical flow control scheme for real-time traffic in wireless mesh network: from theoretic model to practical mechanism |
| Full text |
Pdf
(317 KB)
|
| Source
|
International Conference On Mobile Technology, Applications, And Systems
archive
Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
table of contents
Singapore
SESSION: Mobility 2007: Wireless and mobile networks
table of contents
Pages 288-295
Year of Publication: 2007
ISBN:978-1-59593-819-0
|
|
Authors
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 3, Downloads (12 Months): 40, Citation Count: 0
|
|
|
ABSTRACT
The link interference and multi-hop characters make Wireless Mesh Network (WMN) performance can not be tuned well by local information. We propose an analytical flow control scheme (AFCS) based on the optimal bandwidth allocation model that is specifically designed for the unique characteristics of WMN. The original contribution incorporated in a flow contention model of WMN based on maximal link interference region. With the contention constraint, the optimality of bandwidth allocation can be achieved by maximizing the aggregated utility across all flows. We then deduce a practical equation for adjusting sending rate from the bandwidth allocation model. Based on the simplified analytical equation and the congestion notification message mechanism, we propose an equation-based flow control framework for real-time traffic in WMN. Simulation results have shown the AFCS can improve the capacity of the WMN by 40% and alleviate the unfairness and delay jitter greatly. The fast response, fairness and steadiness characters of the AFCS are helpful for rigorous real-time traffic and dynamic wireless network.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
J. Mahdavi and S. Floyd. TCP-friendly Unicast Rate-based Flow Control. Note sent to end-to-end-interest mailing list, 1997.
|
| |
3
|
F. P. Kelly. Charging and Rate Control for Elastic Traffic. European Trans. on Telecommunications, vol. 8, pp. 33--37, 1997.
|
| |
4
|
F. P. Kelly, A. K. Maulloo, and D. K. H. Tan. Rate Control in Communication Networks: Shadow prices, Proportional Fairness and Stability. Journal of the Operational Research Society, vol. 49, pp. 237--252, 1998.
|
| |
5
|
|
 |
6
|
Sally Floyd , Mark Handley , Jitendra Padhye , Jörg Widmer, Equation-based congestion control for unicast applications, Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, p.43-56, August 28-September 01, 2000, Stockholm, Sweden
|
| |
7
|
|
| |
8
|
|
| |
9
|
P. Gupta and P. R. Kumar The Capacity of Wireless Networks. IEEE Transactions on Information Theory, vol. 46, No. 2, pp. 388--404, March 2000.
|
| |
10
|
J. M. Borwein and A. S. Lewis. Convex Analysis and Nonlinear Optimization: Theory and Examples. New York: Springer, 2000.
|
| |
11
|
Yongqiang Liu, YanWei. Research on Bandwidth Analysis and Optimization Technology in Wireless Mesh Netowrk. Ph.D. dissertation. 2006. http://net.pku.edu.cn/-zt/lyq_thesis.pdf
|
| |
12
|
Y. Qiu and P. Marbach. Bandwidth Allocation in Ad-Hoc Networks: A Price-Based Approach. in Proc. of INFOCOM, 2003.
|
| |
13
|
Kun Tan, Qian Zhang, Feng Jiang, China Xuemin Shen. Sensor and Ad Hoc Communications and Networks 26--29 Sept., 2005 Page(s):96 - 106
|
| |
14
|
K. Fall. The ns Manual. http://www.isi.edu/nsnam/ns/nsdocumentation.htm
|
| |
15
|
|
|