The problem of estimating parameter of bilinear state-space system is considered in this paper.A gradient base...
ZHONG Lusheng 1,2,FAN Xiaoping 1,YANG Hui 2 1.College of Information Science and Engineering,Central South University,Changsha 410083,P.R.China2.College of Electrical and Electronic Engineering,East China Jiaotong University,Nanchang Jiangxi 330013,P.R.China
This paper proposes an adaptive localization approach for wireless sensor networks based on Gauss-Markov mobility model. In the approach,the perpendicular bisector strategy,the virtual repulsive strategy,and the velocity adjustment strategy are properly combined to enhance localization effciency. The velocity adjustment strategy causes that the mobile anchor node automatically tunes its velocity. The perpendicular bisector strategy locally adjusts trajectory for the mobile anchor node,which ensures that unknown nodes obtain enough non-collinear anchor coordinates as soon as possible. The virtual repulsive strategy impels that the mobile anchor node rapidly leaves the communication range of location-aware nodes or returns to the surveillance region after the mobile anchor node was out of the boundary. Both theoretical analysis and simulation studies show that this approach can increase localization accuracy,consume less energy,and cover more surveillance region during the same period than virtual beacons-energy ratios localization scheme using the Gauss-Markov mobility model.
针对大多数研究只分析了平面无线传感器网络第一个节点死亡(First Node Died Time,FNDT)网络寿命与延迟的情况,本文分析了网络全部节点死亡(All Node Died Time,ANDT)时网络寿命与延迟的情况.本文得到的相关工作如下:(1)分析得到了平面无线传感器网络全部节点死亡(All Node Died Time,ANDT)时网络寿命的计算方法;(2)给出了了网络从FNDT到ANDT过程网络延迟的变化规律与发展情况,以及计算方法;(3)提出了网络最大ANDT与延迟间的折中优化方法,从而得到网络性能优化时的节点发射半径以及节点调制级数的选取.本文分析结果较好的揭示了平面无线传感器网络ANDT与延迟的发展规律,并给出了提高网络性能的优化参数选取方法,可为传感器网络的设计、部署与优化提供较好的指导作用.
＜正＞In this paper,the identification problem of linear state-space models is considered for the rare earth extr...
ZHONG Lusheng~(1,2),FAN Xiaoping~1,YANG Hui~2 1.College of Information Science and Engineering,Central South University,Changsha 410083,China 2.College of Electrical and Electronic Engineering,East China Jiaotong University,Nanchang Jiangxi 330013
In this paper,the maximum likelihood identification problem of linear state-space models is considered for the...
ZHONG Lusheng1,2,FAN Xiaoping1,YANG Hui2 1.College of Information Science and Engineering,Central South University,Changsha 410083,P.R.China2.College of Electrical and Electronic Engineering,East China Jiaotong University,Nanchang Jiangxi 330013,P.R.China
