Improving Transmission Availability for Wireless Cognitive Networks: SkyChannel Query Processing

Li Xia Liu; Gang Hu; Zhen Huang; Yu Xing Peng

doi:10.4028/www.scientific.net/AMM.121-126.3977

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Improving Transmission Availability for Wireless...

Improving Transmission Availability for Wireless Cognitive Networks: SkyChannel Query Processing

Abstract:

In wireless cognitive radio networks (CRNs), user will send the sensing data to neighbors for spectrum allocation. Actually only part of data will affect the allocation result. The transmission of unused sensing data isn’t cost-efficient because it consumes a great deal of computing and network resource, especially for CRNs in which the spectrum and power resource is very precious. We propose an improving transmission availability algorithm— SkyChannel Query, which can find the non dominated channels and only transmit information of these channels. The experimental results show the advantages of our algorithm in terms of saving computing resource and improving transmission availability.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

3977-3981

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.3977

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Online since:

October 2011

Authors:

Li Xia Liu, Gang Hu, Zhen Huang, Yu Xing Peng

Keywords:

Availability, Dominate, Region, Skyline, Wireless Cognitive Network

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References

[1] Borzsonyi S, Kossmann D and Stocker K. The Skyline Operator . In: Proceedings of ICDE , Heidelberg, Germany, 2001, pp.421-430.

Google Scholar

[2] Jin-jiu Li, Sheng-li Sum, Yang-yong Zhu, Efficient Maintaining of Skyline over Probabilistic Data Stream, In: Fourth International Conference on Natural Computation, 2008, pp.378-382.

DOI: 10.1109/icnc.2008.534

Google Scholar

[3] Li HJ, Tan QZ, Lee WC. Efficient progressive processing of skyline queries in peer-to-peer systems. In: Proc. of the 1st Int'l Conf. on Scalable Information Systems (INFOSCALE 2006). Hong Kong, (2006).

DOI: 10.1145/1146847.1146873

Google Scholar

[4] Vlachou A, Doulkeridis C, Kotidis Y, Vazirgiannis M. SKYPEER: Efficient subspace skyline computation over distributed data. In: Proc. of the 23rd IEEE Int'l Conf. on Data Engineering (ICDE). Istanbul, (2007).

DOI: 10.1109/icde.2007.367887

Google Scholar

[5] J. Xin, G. Wang, L. Chen, and V. Oria, Energy-efficient evaluation of multiple skyline queries over a wireless sensor network, in Proc. Of DASFAA, 2009, p.247–262.

DOI: 10.1007/978-3-642-00887-0_21

Google Scholar

[6] J. Xin, G. Wang, L. Chen, X. Zhang, and Z. Wang, Continuously maintaining sliding window skylines in a sensor network, in Proc. Of DASFAA, 2007, p.509–521.

DOI: 10.1007/978-3-540-71703-4_44

Google Scholar