无线传感网络中基于辅助信息的线性压缩策略

Auxiliary Information-Based Linear Compression in Wireless Sensor Networks

为了减少数据冗余、提高检测率,节点在向融合中心(Fusion Center,FC)传输数据前,需对数据进行压缩。为此,提出基于辅助信息的线性压缩策略(Auxiliary information-based Linear Compression,AILC)。先假定传感节点拥有信号的部分信息,利用这些辅助信息,传感节点将所收集的时空数据进行压缩,再将这些压缩后的数据传输至FC。提出的AILC策略的目的在于设计有效的线性预编码器,并分析检测的误差指数性能。性能分析表明,利用辅助信息能够有效地提高检测性能。

In order to reduce data redundancy and improve detection rate,nodes need to compress data before transferring data to the Fusion Center(FC).Therefore,Auxiliary information-based Linear Compression(AILC)is proposed in this paper.The sensors possess the knowledge of the signs of the individual components of the signal vector.Using this sign information,we design a linear compression strategy which is employed by the local sensors to compress the collected spatio-temporal data before forwarding it to the FC.The aim of the work presented here is to develop effective linear precoding strategies and study their detection error exponents.Performance analysis shows that utilizing the auxiliary information can radically improve the detection performance.