Beamforming Scheme Based on Immune Genetic Algorithm for Wireless Sensor Networks

doi:10.13190/jbupt.201301.77.qinzhch

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (1): 77-81.doi: 10.13190/jbupt.201301.77.qinzhch

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Beamforming Scheme Based on Immune Genetic Algorithm for Wireless Sensor Networks

QIN Zhi-chao, ZHOU Zheng, ZHAO Xiao-chuan

Key Laboratory of Universal Wireless Communications (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing 100876, China

Received:2012-07-17 Revised:2012-09-04 Online:2013-02-28 Published:2013-01-19
Contact: Zhi-Chao QIN E-mail:qinzhichao@bupt.edu.cn
Supported by:
Important National Science and Technology Specific Projects

Abstract

Abstract:

Considering the limitation of communication capacity and energy for nodes in wireless sensor networks, a beamforming scheme based on immune genetic algorithm is proposed. First,the impact of the transmission coefficients and the number of selected nodes whose arrival phase have difference on the network energy consumption is analyzed. Then,the nodes participating in transmission are selected according to their residual energy and arrival phase combined with rotated factor and their transmission coefficients are adjusted using immune genetic algorithm. Simulation shows that the energy consumption among the nodes can be balanced and the network lifetime can be prolonged effectively.

Key words: wireless sensor networks, beamforming, energy balance

CLC Number:

TN393

QIN Zhi-chao, ZHOU Zheng, ZHAO Xiao-chuan. Beamforming Scheme Based on Immune Genetic Algorithm for Wireless Sensor Networks[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(1): 77-81.

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Beamforming Scheme Based on Immune Genetic Algorithm for Wireless Sensor Networks

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