CFP last date
20 January 2025
Reseach Article

Performance Investigation of Capacity Enhancement Algorithm for IEEE 802.11 Wireless Ad-hoc Networks

Published on None 2011 by Satish Ket, R. N. Awale
journal_cover_thumbnail
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 6
None 2011
Authors: Satish Ket, R. N. Awale
392f9b24-3b8e-4406-8118-50f3c6fd6389

Satish Ket, R. N. Awale . Performance Investigation of Capacity Enhancement Algorithm for IEEE 802.11 Wireless Ad-hoc Networks. International Conference and Workshop on Emerging Trends in Technology. ICWET, 6 (None 2011), 37-44.

@article{
author = { Satish Ket, R. N. Awale },
title = { Performance Investigation of Capacity Enhancement Algorithm for IEEE 802.11 Wireless Ad-hoc Networks },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 6 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 37-44 },
numpages = 8,
url = { /proceedings/icwet/number6/2105-ce124/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Satish Ket
%A R. N. Awale
%T Performance Investigation of Capacity Enhancement Algorithm for IEEE 802.11 Wireless Ad-hoc Networks
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 6
%P 37-44
%D 2011
%I International Journal of Computer Applications
Abstract

The performance of IEEE 802.11 with different network densities and protocol configurations is of interest, particularly in distributed coordination function (DCF) mode. A mathematical model for single hop network IEEE 802.11 protocol was introduced by Bianchi [1] to analytically derive the saturated throughput. The ultimate goal is to enhance the capacity of Ad-hoc network closer to the analytical values of this model. As an attempt, the Receiver Based Capacity Enhancement Algorithm using Cross-Layer Design Approach (RCECLD) is proposed which dynamically adapts the data rate. It uses Signal-to-Noise Ratio (SNR) values calculated by Physical layer and exported to Medium Access Control (MAC) layer via the cross-layer interface to estimate the prevailing channel state. In RCECLD the receiver decides the transmission data rate by calculating the SNR value of received RTS (Ready-to-Send), which is in turn an estimate of the prevailing channel state, and piggybacking it through CTS (Clear-to-Send) to the transmitter. Accordingly, transmitter transmits the data frame with adopted data rate.

References
  1. Bianchi, G., 2000. Performance Analysis of the IEEE 802.11 Distributed Coordination Function. IEEE Journal on Selected Areas in Communications. 18, 3 (Mar. 2000), 535–547.
  2. Kamerman, A., and Monteban, L. 1997. WaveLAN -II: a high-performance wireless LAN for the unlicensed band. Bell Labs Technical Journal, (Summer 1997), 118–133.
  3. IEEE, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. IEEE Standard 802.11-1999, (Aug. 1999).
  4. IEEE 802.11b, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: High-speed Physical Layer Extension in the 2.4 GHz Band. Supplement to IEEE 802.11 Standard, (Sept. 1999).
  5. Balachandran, K., Kadaba, S.R.,and Nanda, S. 1999. Channel quality estimation and rate adaptation for cellular mobile radio. IEEE JSAC. 17, 7, 1244–1256.
  6. Holland, G., Vaidya, N., and P. Bahl. 2001. A Rate Adaptive MAC Protocol for Multi-hop Wireless Networks. ACM MOBICOM’01. Rome, Italy, 236-251.
  7. Sadeghi, B., Kanodia, V., Sabharwal A., and Knightly, E. 2005. OAR: Opportunistic media access for multi-rate ad hoc networks. IEEE/ACM Transactions on Wireless Networks. 11, 1-2, 39-53.
  8. Gupta P. and Kumar P. R., 2000. The Capacity of Wireless Networks. IEEE Transactions on Information Theory, 46(2): 388–404, (March 2000).
  9. Conti, M., Maselli, G., and Turi, G. 2004. Cross-Layering in a Mobile Ad-hoc Network Design. IEEE Comp. Soc.37, 2, 48-51 (February 2004).
  10. Jongseok Kim, Seongkwan Kim, Sunghyun Choi, and Daji Qiao, 2006. CARA: Collision-Aware Rate Adaptation for IEEE 802.11 WLANS. In Proc. IEEE INFOCOM 2006, 1-11, Barcelona, Spain. (April 2006).
  11. Chevillat, P., Jelitto, J., Noll Barreto, A. and Truong. H. L., 2003. A Dynamic Link Adaptation Algorithm for IEEE 802.11a Wireless LANs. In Proc. IEEE ICC’03. 1141-1145, Anchorage, AK, (May 2003).
  12. Daji Qiao and Sunghyun Choi, 2005. Fast-Responsive Link Adaptation for IEEE 802.11 WLANs. In Proceedings IEEE ICC’05, vol.5, 3583-3588, Seoul, Korea. (May 2005).
  13. Jinyang Li, Charles Blake, Douglas S. J., De Couto, Hu Imm Lee, Robert Morris, 2001. Capacity of Ad Hoc Wireless Networks. In Proceedings of the ACM MOBICOM’01, Rome, Italy, 61-69.
  14. Timothy J., Shepard, 1996. A channel access scheme for large dense packet radio networks. In Proceedings of the ACM SIGCOMM Conference (SIGCOMM ’96), 219–230, (August 1996}.
  15. Matthias Grossglauser and David Tse, 2002. Mobility Increases the Capacity of Ad-hoc Wireless Networks. IEEE/ACM Transactions on Networking, 10, 4, 477-486.
  16. Thyagarajan Nandagopal, Tae-Eun Kim, Xia Gao, and Vaduvur Bharghavan, 2000. Achieving MAC Layer Fairness in Wireless Packet Networks. In Proceedings of the ACM/IEEE MobiCom, 87–98, (August 2000).
  17. Rappaport, T. S. 1999. Wireless Communications: Principles and Practice. Prentice Hall.
  18. Ratish, J., Punnoose, Pavel V., Nikitin, and Daniel, D. Stancil. 2000. Efficient Simulation of Ricean Fading within a Packet Simulator. In Proceedings of the IEEE VTC’00-Fall. 2 (Sept. 2000), 764-767.
  19. Heusse, M., Rousseu, F., Berger G., Sabbatel, and Duda, A. 2003. Performance Anomaly of 802.11b. IEEE INFOCOM’03. 2 (Mar. 2003), 836-843.
Index Terms

Computer Science
Information Sciences

Keywords

RCECLD ARF Ad-hoc Networks Multi-hop Networks