Subscribe Now Subscribe Today
Research Article

Multi-channel Hybrid Wireless Network Capacity with Bottleneck Constraint

Lin Chen
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Network capacity is one of basic problems of wireless networks, which reflects the asymptotic capacity when the number of nodes approaches infinite. Multi-channel hybrid wireless network, such as vehicular ad hoc network utilizes base station supports and multi-channel technologies. Due to randomly selecting the destination nodes, the performance of destination node may be constrained. For this kind of network sceneries, the mathematical analysis model is presented. Furthermore, the upper bound is estimated and the lower bound is constructed and calculated. The theoretical analysis results show that the time and channel resources are distributed according to the number of flows of nodes may improve the network performance. It provides one important reference for network system optimization.

Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

  How to cite this article:

Lin Chen , 2013. Multi-channel Hybrid Wireless Network Capacity with Bottleneck Constraint. Information Technology Journal, 12: 3140-3145.

DOI: 10.3923/itj.2013.3140.3145


1:  Bhandari, V. and N. Vaidya, 2006. Connectivity and Capacity of multi-channel wireless networks with channel switching constraints. Technical Report, University of Illinois at Urbana-Champaign, USA.

2:  Chen, L. and S. Wei, 2010. Throughput capacity of hybrid multi-channel wireless networks. AEU-Int. J. Electronics Commun., 64: 299-303.
CrossRef  |  

3:  Chen, L., S.T. Wei and W.A. Tan, 2011. Network Capacity of Multi-channel Multi-interface Hybrid Networks. Comput. Sci., 38: 96-100.
CrossRef  |  

4:  Dai, Q.Y., X.L. Hu, G. Su and Y.Y. Zhang, 2006. A survey of the capacity for wireless Ad Hoc Networks. Comput. Sci., 33: 1-4.
CrossRef  |  

5:  Gamal, A., J. Mammen, B. Prabhakar and D. Shah, 2004. Throughput-delay trade-off in wireless networks. Proceedings of the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, Volume: 1, March 7-11, 2004, Hong Kong, China, -.

6:  Grossglauser, M. and D.N.C. Tse, 2002. Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Trans. Network., 10: 477-486.
CrossRef  |  

7:  Guo, Z.H. and H.S. Shi, 2008. Research on the capacity of Ad Hoc Networks based on euclidean minimum spanning tree. Chinese J. Sensors Actuators, 21: 1750-1754.
CrossRef  |  

8:  Gupta, P. and P.R. Kumar, 2000. The capacity of wireless networks. IEEE Trans. Inform. Theory, 46: 388-404.
CrossRef  |  Direct Link  |  

9:  Han, S., G.C. Gu and Y.C. Deng, 2011. The capacity analysis of wireless Ad Hoc Networks based on M/MMPP/1 node model. Chinese J. Comput., 34: 1679-1687.
CrossRef  |  

10:  Kozat, U. and L. Tassiulas, 2003. Throughput capacity of random ad hoc networks with infrastructure support. Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, September 14-19, 2003, ACM Press, New York, pp: 55-65.

11:  Kyasanur, P. and N.H. Vaidya, 2005. Capacity of multi-channel wireless networks: Impact of number of channels and interfaces. Proceedings of the 11th Annual International Conference on Mobile Computing and Networking, August 28-September 2, 2005, Cologne, Germany, pp: 43-57.

12:  Liu, B., Z. Liu and D. Towsley, 2003. On the capacity of hybrid wireless networks. Proceedings of 22nd Annual Joint Conference of the IEEE Computer and Communications, Volume: 2, March 30- April 3, 2003, San Francisco, CA, USA, pp: 1543-1552.

13:  Raab, M. and A. Steger, 1998. Balls into bins-A simple and tight analysis. Proceedings of 2nd Workshop on Randomization and Approximation Techniques in Computer Science, October 8-10, 1998, Barcelona, Spain, pp: 159-170.

©  2021 Science Alert. All Rights Reserved