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Optimal QoM in Multichannel Wireless Networks Based on MQICA
Joint Authors
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
In wireless networks, wireless sniffers are distributed in a region to monitor the activities of users.
It can be applied for fault diagnosis, resource management, and critical path analysis.
Due to hardware limitations, wireless sniffers typically can only collect information on one channel at a time.
Therefore, it is a key topic to optimize the channel selection for sniffers to maximize the information collected, so as to maximize the Quality of Monitoring (QoM) for wireless networks.
In this paper, a Multiple-Quantum-Immune-Clone-Algorithm- (MQICA-) based solution was proposed to achieve the optimal channel allocation.
The extensive simulations demonstrate that MQICA outperforms the related algorithms evidently with higher monitoring quality, lower computation complexity, and faster convergence.
The practical experiment also shows the feasibility of this algorithm.
American Psychological Association (APA)
Xia, Na& Xu, Lina& Ni, Chengchun. 2013. Optimal QoM in Multichannel Wireless Networks Based on MQICA. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-14.
https://search.emarefa.net/detail/BIM-447256
Modern Language Association (MLA)
Xia, Na…[et al.]. Optimal QoM in Multichannel Wireless Networks Based on MQICA. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-447256
American Medical Association (AMA)
Xia, Na& Xu, Lina& Ni, Chengchun. Optimal QoM in Multichannel Wireless Networks Based on MQICA. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-14.
https://search.emarefa.net/detail/BIM-447256
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447256