Wireless sensor and actuator networks (WSANs) combine the benefits of wireless sensor networks with that of network control system, it is a hot spot of research in recent years. The novel architecture of WSANs has the capability of not only monitoring but also controlling and executing, which brings about unique and new challenges that need to be addressed: (1) the resources are asymmetrical between the nodes, (2) the capacity of signal node is limited and is difficult to complete the whole tasks alone, (3) under complex environments, WSANs are pound to be influenced by external disturbances such as noise, delay, node failure, etc., and (4) mobile actuators are necessary in some particular applications. So, resources optimization and collaborative control are the key points during system operation. To this ends, the research of this proposal centres on the collaborative control problem of mobile actuators, and aims to propose the corresponding resources optimal scheduling mechanism to cope with the above problem. Our research focuses on the following key points such as system modeling and analyzing, the actuator relocation mechanism considering system controllability, multi-sources data fusion and evaluation, the design of routing algorithm robust against time delay, the optimal actuator task allocation and execution. Meanwhile, a simulation platform as well as a tested will be developed to evaluate, analyze and improve the proposed algorithms, and further, to bridge the gap between theory and reality.
无线传感器/执行器网络结合了无线传感器网络与网络控制系统的优点,具备了监测、控制和执行功能,是近年来国内外的一个研究热点。无线传感器/执行器网络具有以下特征:(1)节点资源不均;(2)单个节点能力有限,整体任务需要协同完成;(3)在复杂环境下,系统受到噪声、时延、节点失效等多方面的影响;(4)特殊应用下需要执行器移动工作,而资源优化与协调控制是移动无线传感器/执行器网络高效运行的关键。本项目围绕移动执行器协调控制问题,以建立一套针对上述问题的资源优化调度理论方法体系为目标,重点研究系统建模与分析、基于系统能控性的执行器优化部署、多源数据融合与评估、能容忍时延的路由算法设计、执行器优化任务分配与执行等若干个关键问题。同时通过构建仿真平台和物理平台对理论结果进行验证、分析和改进,以缩小理论与实际之间的差距。
无线传感器/执行器网络结合了无线传感器网络与网络控制系统的优点,具备了监测、控制和执行功能,是近年来国内外的一个研究热点。无线传感器/执行器网络具有以下特征: (1) 节点资源不均; (2) 单个节点能力有限,整体任务需要协同完成; (3) 在复杂环境下,系统受到噪声、时延、节点失效等多方面的影响; (4) 特殊应用下需要执行器移动工作,而资源优化与协调控制是移动无线传感器/执行器网络高效运行的关键。本项目围绕移动执行器协调控制问题,以建立一套针对上述问题的资源优化调度理论方法体系为目标,重点研究系统建模与分析、基于系统能控性的执行器优化部署、多源数据融合与评估、能容忍时延的路由算法设计、执行器优化任务分配与执行等若干个关键问题。同时通过构建仿真平台和物理平台对理论结果进行验证、分析和改进,以缩小理论与实际之间的差距。
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数据更新时间:2023-05-31
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