摘要
为构建可适应环境的数据查询模型,提出一种适用于有限带宽无线传感网的连接查询方法,支持对多跳无线传感网的动态连接优化;设计基于代价的模型,提出自学习和自适应的启发式方法,根据实际情况选择最佳算法和变量的值。标准数据集上的实验验证了本文方法的有效性。
In order to develop the dynamic query method that suits environment,this paper proposes an optimized join query method that is applicable to limited bandwidth context.The dynamic join optimization problem in multi-hop wireless sensor network is resolved and a cost-based model is designed.Moreover,a self learning and adaptive heuristic method is put forward,which chooses the best algorithm and selective variable value according to the actual situation.This algorithm can predict the selectivity in advance,and can optimize the pairs of data streams.The effectiveness of the proposed method is verified by experiments on standard data sets.
出处
《计算机与现代化》
2013年第9期137-142,共6页
Computer and Modernization
