Optimal QoM in Multichannel Wireless Networks Based on MQICA | Zendy

Na Xia | Zendy; Lina Xu | Zendy; Chengchun Ni | Zendy

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Optimal QoM in Multichannel Wireless Networks Based on MQICA

Author(s) -

Na Xia,

Lina Xu,

Chengchun Ni

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/120527

Subject(s) - computer science , wireless , wireless network , channel (broadcasting) , key (lock) , quality (philosophy) , computer network , selection algorithm , computation , selection (genetic algorithm) , distributed computing , algorithm , telecommunications , artificial intelligence , computer security , philosophy , epistemology

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. © 2013 Na Xia et al.

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