传感器网络中基于数据融合的栅栏覆盖控制研究

该文采用概率性感知模型，并利用数据融合技术构造虚拟节点来增加节点覆盖区域。在此基础上，提出一种栅栏覆盖控制算法。算法借助分治法构造栅栏，以减少节点间通信开销；并调度传感器使冗余节点睡眠，达到减少能耗和延长网络寿命的目的。分析和实验结果表明，针对所提问题设计的模型和算法可有效增加节点覆盖范围及节点间最大间隔距离，且在栅栏数、网络寿命等性能上均优于基于节点监测数据未融合的栅栏覆盖控制算法。

Barrier Coverage Control Based on Data Fusion for Wireless Sensor Network

Based on probabilistic sensing model,a virtual sensor is constructed by information fusion scheme that fuses sensing measurements of two sensors,which can significantly improve coverage region.Based on the theories, a barrier coverage preserving configuration algorithm is proposed.The algorithm provides continuous barrier coverage for the whole region by divide-and-conquer approach,which can reduce the communication overhead. Moreover,the redundancy nodes are scheduled to sleep for reducing energy consumption and prolonging the network lifetime.Analysis and experiment results show that the validity of model and algorithm enhancing coverage range and increasing the max separation distance between two sensors,and the algorithm outperforms the barrier coverage preserving configuration scheme based on information non-fusion sensor,on the number of barrier and network lifetime.