西安电子科技大学学报（自然科学版）2016，Vol.43Issue(5)：81-87,7.DOI:10.3969/j.issn.1001-2400.2016.05.015
无线传感器网络中基于鲁棒优化的功率控制
Power control in wireless sensor networks based on robust optimization
摘要
Abstract
Topology control is a critical issue for energy efficient wireless sensor networks . Distance between sensors plays an important role in the problem of topology control in that it directly determines the accuracy of the node position . However , distance is generally affected by uncertain external factors , such as measurement error and actual interference . The actual performance of a topology control strategy can be severely influenced by distance uncertainty . Based on the robust discrete optimization theory and methodology , a power control algorithm is proposed to deal with distance uncertainty . First , related works on robust optimization is introduced . Then the problem of power control is formulated as a robust minimum spanning tree model under distance uncertainty , which is solved by Prim's algorithm . In computational experiments , the influence of the adjusting parameter on network performance is studied . Simulation results show that a robust solution can provide an improvement when the distance is uncertain at the expense of the less optimal value compared with a deterministic solution .关键词
无线传感器网络/功率控制/鲁棒优化/最小生成树Key words
wireless sensor networks/power control/robust optimization/minimum spanning tree分类
信息技术与安全科学引用本文复制引用
乔俊峰,刘三阳,齐小刚..无线传感器网络中基于鲁棒优化的功率控制[J].西安电子科技大学学报（自然科学版）,2016,43(5):81-87,7.基金项目
国家自然科学基金资助项目（61373174）；广东省高等学校高层次人才资助项目 （）
