基于序贯检测的无线传感器网络决策融合算法

Wireless sensor networks decision fusion algorithm based on sequential detection

数据融合是能源有限的无线传感器网络应用中必不可少的信息处理手段。目前的数据融合方法多着眼于固定参与节点数目下的数据融合,由于融合时数据传输量与参与节点数目呈正比,所以,最佳的节能策略应是满足一定性能条件下参与节点数目可变。将序贯检测理论应用于无线传感器网络数据融合问题上,并建立其数学模型。考虑无线信道的衰减和物理层调制解调特性,进一步提出基于序贯检测的无线传感器网络数据融合判决(WDASD)方法,并通过仿真实验验证了WDASD算法的性能。

Data aggregation is effective information processing method to solve energy saving problem of WSNs.Most existing data aggregation algorithm discuss fusion problem in the scene that the number of nodes is fixed.However,data transmission quantity is directly proportional to number of nodes. And the optimal energy-saving strategy should be that number of nodes which satisfy performance condition. Sequential detection is applied in WSNs data aggregation and math model is established. Taking into account attenuation of wireless channel and characters of physical layer moddemod,a WSNs data aggregation judge method based on sequential detection is proposed,and characters of WSNs data aggregation based on sequential detection（ WDASD） are tested by simulations.