多传感器分布式检测系统的跨层优化设计

目标检测就是判断被监测对象是否出现,是无线传感器网络应用的首要前提.由于传感器节点协作执行检测任务,因此,应用于通信网中的解耦和最大吞吐量的网络设计不能使系统检测性能最优.提出了集成物理层、MAC层和应用层的跨层设计,设计了感知信息质量、信道状态和有效能量协同的传输控制策略,该传输策略可以有效地调节节点和融合中心的通信使系统的检测性能最优.最后,通过解决非线性约束优化问题分别为ALOHA和TDMA传感器网络得到最优的设计变量,并与典型的解耦和最大吞吐量设计比较检测性能增益.

Cross-layer Design for Distributed Detection in Sensor Networks

Target detection is to determine whether the monitored target event occurs, and it is the first premise of monitoring applications based on wireless sensor networks. Due to the sensor nodes cooperate to perform the detection task, the decoupled and maximum throughput design approaches typically used in the communication networks cannot make the optimal detection performance. It is presented the cross layer design of integration of the physical layer, MAC layer and application layer to design a transmission control policy intergating channel state information, quality of information and residual energy information-aware, which coordinates communication between local sensors and the fusion center, in order to maximize the detection performance. Finally, a nonlinear constraint optimization problem for ALOHA and TDMA sensor networks was formulated and solved to get the optimal design variables. And also the detection performance gain was compared to the typical decoupled and maximum throughput design approaches.