通信受限下异构传感器网络的时间/事件驱动分布式估计算法研究

项目名称： 通信受限下异构传感器网络的时间/事件驱动分布式估计算法研究

项目编号： No.61473081

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 张亚

作者单位： 东南大学

项目金额： 81万元

中文摘要： 采用异构传感器网络不仅能够利用传感特性上的互补使得提取更全面、更准确的信息成为可能，而且采用多模简单传感原件代替单模高性能传感设备也降低了成本。然而网络的不确定性和信息、结构的多样性也为分布式估计算法的设计和分析带来许多挑战。本项目拟从随机控制理论、分布式系统理论和鲁棒控制理论出发，结合一致性方法研究复杂通信、测量环境中异构传感器网络的时间驱动和事件驱动分布式估计算法,以高效地利用网络资源实现目标状态估计。研究内容包括：(1)时间驱动网络中目标分布式可检测性与传感器传感通信拓扑结构、网络异构性、目标动态的关系，分布式可检测所容许的传感和采样周期、丢包概率、以及时延的上界；(2)基于一致性的时间驱动分布式滤波算法的设计；(3)基于一致性的分布式估计器增益和事件驱动机制的设计，以及最大容许连续丢包次数和时延上界；(4)基于OPNET的传感器网络分布式估计的仿真实现.

中文关键词： 分布式估计；异构传感器网络；通信受限；一致性；事件驱动

英文摘要： Heterogeneous sensor networks can take advantage of the complementary characteristics of the sensors to obtain more comprehensive and accurate information. Moreover, by using heterogeneous simple sensors instead of sensing devices with high-performance, it can also reduce costs. However, the communication constraints,information diversity, and heterogeneous structures of the networks brings many challenges for distributed estimation algorithm design and analysis. The project intends to apply stochastic control theory, distributed systems theory, robust control theory, and consensus analyzing methords to study the distributed time-triggered and event-triggered estimation algorithms for heterogeneous sensor network with communication and sensing constraints, with the goals of achieving target's state accurate estimation and effeciently using network resources. The contents of this project includes: (1) The effects of sensing and communication topology, heterology, and target's dynamics on the distributed detectability of time-driven networks. The maximum allowable sensing and sampling period, packet loss probability, and delay bounds. (2) Consensus-based distributed time-driven filtering algorithm. (3) Consensus-based distributed estimator gains and event-triggering mechanism design, and the maximum allowable number of successive packet losses and delay bounds. (4)Simulations and analysis for sensor networks based on OPNET.

英文关键词： distributed estimation;heterogeneous sensor networks;communication constraints;consensus;event-trigger