Application of Quantum-Inspired Evolutionary Algorithm to Improve the Beampattern of Collaborative Beamforming in Wireless Sensor Networks

• Main Author: 陳柏宇
• Other Authors: 陳榮杰 博士
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/51358913307742443264

碩士 === 國立高雄師範大學 === 光電與通訊工程學系 === 103 === Collaborative beamforming (CB), which forms a virtual antenna array from a subset number of distributed wireless nodes in wireless sensor networks,can increase the transmission range and improve energy efficiency. However, due to the distributed nature of wireless sensor nodes, it is necessary to select appropriate cooperating nodes for CB to achieve a desired beampattern. In this paper, we propose a novel algorithm that uses quantum-inspired evolutionary algorithm (QEA) to search over different wireless sensor node combinations. Simulation results show that the proposed QEA-based node selection method performs better than the other existing algorithms, such as genetic algorithms.