对无线传感器网络的数据采集问题进行了研究,提出了一种基于可移动sink节点的数据采集方案DCSR。DCSR包括2个阶段,第1个阶段根据传感器节点的分布情况确定一批采集点,第2个阶段使用量子遗传算法求解出经过采集点的最短回路。计算完之后,sink沿着这条回路运动,周期性进行数据采集。理论分析和仿真实验表明,DCSR的性能较好,采集的数据量也更多。
The issue of data collection in wireless sensor networks was studied.A mobile sink-based data collection scheme called DCSR was proposed.DCSR consisted of two phases.Firstly,a number of collection sites were selected according to the sensor distribution.And then a quantum genetic algorithm was performed to calculate the shortest loop across the sites.The sink node would travel along this loop periodically and collect data at each site.Theoretical analysis and simulation results show that DCSR has better performance and collects more data.