Periodic Solutions of the Non-Autonomous Lagrange Systems

摘要：

This paper presents a robust distributed localization approach which employs weighted least squares scaling with soft constrains. It incorporates the a priori deployment constraints, I.e., minimum and maximum node separation among 2-hop nodes, into localization as soft constraints and penalizes pairs of 2-hop nodes whose assigned coordinates violate the minimum and maximum constraints. Combined with applying consistency checking and statistical filtering of ranging measurements, we improve the location estimates compared with classical least squares scaling. For received signal strength based range measurements, extensive simulation results confirm that this localization scheme outperforms classical least squares scaling and is resilient against large ranging errors and sparse range measurements, which are common in wireless sensor network deployments. Gained a theorem about existent periodic solutions of the non-autonomous lagrange systems with minimal action principle.

关键词： lagrange system periodic solution wireless sensor networks localization soft constraint

作者: Rui Liu Xiao-lin Yang Ben-qiong Hu Jing Xu

作者单位: College of Information Management,Chengdu University of Technology Chengdu 610059, PR China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 405-408

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）