Competition, Cooperation, and Optimization in Multi-Hop CSMA Networks with Correlated Traffic
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Abstract
The purpose of this paper is to present a new method for the study of the competition and co- operation relationships among nodes in a network us- ing a CSMA (Carrier Sense Multiple Access) proto- col implemented with an exponential backoff process. Self-organized behavior is proposed. Standard topolo- gies, such as tandem, traffic splitting and merging, are studied with variables: 1) backoff rate, 2) topology po- sition, 3) traffic splitting. Several interesting phenom- ena are reported. We propose a "Channel Utilization Model" with a new derived variable "channel access rate" which can be used for all traffic loads. These mod- els are applied with different optimization methods. Special strategies, for example "MAC Friendliness", are also presented for serving special traffic like emergency traffic.
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How to Cite
Shi, Z. ., Beard, C., & Mitchell, K. . (2012). Competition, Cooperation, and Optimization in Multi-Hop CSMA Networks with Correlated Traffic. International Journal of Next-Generation Computing, 3(3), 228–246. https://doi.org/10.47164/ijngc.v3i3.36
References
- Ashraf, U., Abdellatif, S., and Juanole, G. 2011. Route selection in ieee 802.11 wireless mesh networks. Telecommunication Systems.
- Bianchi, G. 2000. Performance analysis of the IEEE 802.11 distributed coordination function. IEEE JSAC 18, 535547.
- Bianchi, G. and Tinnirello, I. 2003. Kalman filter estimation of the number of competing terminals in an ieee 802.11 network. INFOCOM.
- Boorstyn, R. R., Kershenbaum, A., Maglaris, B., and Sahin, V. 1987. Throughput analysis in multihop CSMA packet radio networks. IEEE Transactions on Communications 35, 3 (March), 267–274.
- Brahma, M., Kim, K. W., Abouaissa, A., and Lorenz, P. 2005. A load-balancing and push-out scheme for supporting qos in manets. Telecommunication Systems 30, 1-3, 161–175.
- Clerc, M. and Kennedy, J. 2002. The particle swarm - explosion, stability, and convergence in amultidimensional complex space. Evolutionary Computation, IEEE Transactions on 6, 1 (Feb), 58–73.
- Felegyhazi, M. and Hubaux, J.-P. 2006. Game theory in wireless networks: A tutorial. EPFL Technical report.
- Kennedy, J. and Eberhart, R. 1995. Particle swarm optimization. Neural Networks, 1995. Proceedings., IEEE International Conference on 4, 1942–1948.
- Kleinrock, L. and Tobagi, F. 1975. Packet switching in radio channels: Part i–carrier sense multiple-access modes and their throughput-delay characteristics. IEEE Transactions on Communications 23, 12 (December), 1400–1416.
- Lauwens, B., Scheers, B., and de Capelle, A. V. 2010. Performance analysis of unslotted csma/ca in wireless networks. Telecommunication Systems 44, 1-2, 109–123.
- Li, J., Blake, C., De Couto, D. S. J., Lee, H. I., and Morris, R. 2001. Capacity of ad hoc wireless networks. Proceedings of the 7th ACM International Conference on Mobile Computing and Networking, 61–69.
- Luo, H., Lu, S., and Bharghavan, V. 2000. A new model for packet scheduling in multihop wireless networks. Proceedings of ACM MOBICOM, 76–86.
- M. Cagalj, S. Ganeriwal, I. A. and Hubaux, J. P. 2005. On selfish behavior in CSMA/CA networks. INFOCOM 2005 4, 2513–2524.
- Medepalli, K. and Tobagi, F. A. 2006. Towards performance modeling of IEEE 802.11 based wireless networks: A unified framework and its applications. INFOCOM 2006. 25th IEEE International Conference on Computer Communications. Proceedings, 1–12.
- Michele Garetto, T. S. and Knightly, E. W., Eds. 2006. Modeling Per-Flow Throughput and Capturing Starvation in CSMA Multi-Hop Wireless Networks. Proceedings of IEEE INFOCOM, Barcelona, Spain.
- Nandagopal, T., eun Kim, T., Gao, X., and Bharghavan, V. 2000. Achieving mac layer fairness in wireless packet networks. MOBICOM, 87–98.
- Rajagopalan, S., Shah, D., and Shin, J. 2009. Network adiabatic theorem: an efficient randomized protocol for contention resolution. SIGMETRICS ’09 Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems.
- Shi, J., Gurewitz, O., Mancuso, V., Camp, J., and Knightly, E. W. 2008. Measurement and modeling of the origins of starvation in congestion controlled mesh networks. INFOCOM, 1633–1641.
- Shi, Z. 2010. Stochastic modeling, correlation, competition, and cooperation in a csma wireless network. Ph.D. thesis, University of Missouri-Kansas City, Kansas City, Missouri.
- Shi, Z., Beard, C., and Mitchell, K. 2007. Misbehavior and MAC friendliness in CSMA networks. IEEE Wireless Communications and Networking Conference WCNC., 355–360.
- Shi, Z., Beard, C., and Mitchell, K. 2008. Tunable traffic control for multihop csma networks. Military Communications Conference (MILCOM ’08), 1–7.
- Shi, Z., Beard, C., and Mitchell, K. 2009. Analytical models for understanding misbehavior and mac friendliness in csma networks. Performance Evaluation 66, 469–487.
- Shi, Z., Beard, C., and Mitchell, K. 2011. Competition, cooperation, and optimization in multi-hop csma networks. Accepted by The Eighth ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN).
- Shi, Z., Beard, C., and Mitchell, K. 2012. Analytical models for understanding space, backoff, and flow correlation in csma wireless networks. doi: 10.1007/s11276-012-0474-8. Wireless Networks, Springer.
- Srivastava, V., Neel, J., MacKenzie, A. B., Menon, R., DaSilva, L. A., Hicks, J. E., Reed, J. H., and Gilles, R. P. 2005. Using game theory to analyze wireless ad hoc networks. IEEE Communications Surveys and Tutorials 7, 46–56.
- Wang, X. and Kar, K. 2005. Throughput modelling and fairness issues in CSMA/CA based ad-hoc networks. INFOCOM 2005 1, 23–34.
- Xu, S. and Saadawi, T. 2001. Does the IEEE 802.11 mac protocol work well in multihop wireless adhoc networks? aCommunications Magazine, IEEE 39, 6 (June), 130–137.