Analysis of Conflict Resolution Model in Campus WLAN Wireless Network

Heng Jun Zhu; Rui Wang

doi:10.4028/www.scientific.net/AMR.989-994.4590

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Analysis of Conflict Resolution Model in Campus...

Analysis of Conflict Resolution Model in Campus WLAN Wireless Network

Abstract:

In the campus WLAN wireless networks, transfer speed of network data is attracted great attention of users. How to solve conflict problem occurred in the network data transmission process has become the main goal of the campus WLAN network optimization. This paper presents campus WLAN wireless networks conflict resolution based channel mapping anti-collision algorithm. According to the amount of data to be transmitted in the network, the data length is estimated to provide conflict resolution with support data. On the basis of the channel mapping anti-collision algorithm related theory, conflict resolution model is established. Experimental results show that the proposed algorithm used in resolving conflict in campus WLAN wireless network can reduce the probability of data conflict happened in channel, so as to improve the performance of campus WLAN wireless network.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4590-4593

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4590

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Online since:

July 2014

Authors:

Heng Jun Zhu*, Rui Wang

Keywords:

Channel, Conflict Prevention, Wireless Networks

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* - Corresponding Author

References

[1] P. Xie, Z. Zhou, Z. Peng, H Yan, T.S. Hu, J. -H. Cui, Z.J. Shi, Y.S. Fei and S.L. Zhou, Aqua-Sim: A NS-2 Based Simulator for Underwater Sensor Networks[C], IEEE/MTS OCEANS, 2009: 1-7.

DOI: 10.23919/oceans.2009.5422081

Google Scholar

[2] Su K. F , Ou C. H, Jiau H. C. Localization with Mobile Anchor Point s in Wireless Sensor Networks[J]. IEEE Transactions on Vehicular Technology, 2005. 54: 1187-1197.

DOI: 10.1109/tvt.2005.844642

Google Scholar

[3] B Waters. Efficient identity-based encryption without random ora-cles[C]. Advances in Cryptology-EUROCRYPT 2005. Berlin: Springer-Verlag, 2005. 114-127.

DOI: 10.1007/11426639_7

Google Scholar

[4] Akyildiz I F, Pompili D, Melodia T. Under-water acoustic sensor networks: research ch-allenges [J]. Ad Hoc Networks (S1570-8705), 2005, 3(3): 257-279.

DOI: 10.1016/j.adhoc.2005.01.004

Google Scholar

[5] Li J, Ning T, Pei L, et al. Millimeter-wave radio-over-fiber system based ontwo-step heterodyne technique. Optics Letters, 2009, 34(20): 3136-3138.

DOI: 10.1364/ol.34.003136

Google Scholar

[6] Shih P T, Chen J, Lin C, et al. Optical millimeter-wave signal generation viafrequency 12-tupling. J LightwTechnol, 2010, 28: 71-78.

Google Scholar