【摘要】 针对大规模无线传感器网络的定位问题,提出了一种多层定位模型.首先根据网络中节点的不同应用与软硬件特性将节点划分为多个定位层次,并按照各层次的特性设计相应的定位算法,然后融合各定位层次为整个无线传感器网络的定位.分析研究了各层的定位误差以及层与层之间的误差传播和积累,并给出了降低这些误差的方法.仿真结果表明,分层定位模型能较好地处理误差积累问题,对节点定位误差和测距误差具有一定的容错性,在通信级节点点位误差为0.05、RSSI测距误差为0.3的情况下,相比DV-Hop算法平均点位误差减小16%.更多还原

【Abstract】 Aiming at the localization problem of large scale WSNs,a multilevel localization model is presented.Firstly,the nodes are divided into different levels according to their characters,and then localization algorithms are designed for each level and combined to the whole localization model of WSNs.The errors of each level and the error propagation between the levels have been analyzed,and the methods of reducing them are presented.Simulation results show that the multilevel localization model can deal well with the error accumulation,and the position error can be reduced 16% than DV-Hop while the position error of communicate level nodes is 0.05 and edge measurement error is 0.3.更多还原