摘要
减少网络中的数据传输量是传感器网络节约能量、延长网络生命的重要方法.提出一种基于时空相关的传感器网络汇聚查询算法STCAQ.在STCAQ中,首先通过基于时间相关的预测算法对网络中节点采样数据进行汇聚;然后依据节点采样数据汇聚结果,通过基于空间相关判定算法查询空间相关区域信息.仿真结果表明,STCAQ在能量消耗、查询质量和网络数据量等方面优于ESA算法.
Reducing data size is one of the most important way to save the energy and delay the network lifetime in WSN. A spatial-temporal correlation based on aggregation query algorithm, STCAQ, was proposed. STCAQ firstly aggregated datas sampled by nodes by the prediction way based on temporal- correlation, and then provided a way to query the information of the spatial-correlated area by the way based on spatial-correlation.Simulation results showed that STCAQ was superior to ESA in energy consumption, query quality and reducing data size sent by nodes and network traffic.
出处
《湖北大学学报(自然科学版)》
CAS
2014年第2期185-189,194,共6页
Journal of Hubei University:Natural Science
基金
湖北省教育厅青年人才基金(Q20111003)资助