首页> 外文会议>Conference on unattended ground, sea and air sensor technologies and applications XI; 20090413-16; Orlando, FL(US) >Integrated Operational Control and Dynamic Task Allocation of Unattended Distributed Sensor Systems
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Integrated Operational Control and Dynamic Task Allocation of Unattended Distributed Sensor Systems

机译:无人值守的分布式传感器系统的集成操作控制和动态任务分配

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Unattended autonomous systems of the future will involve groups of static and mobile sensors functioning in coordination to achieve overall task objectives. Such systems can be viewed as wirelessly networked unmanned heterogeneous sensor networks. We discuss a distributed heterogeneous sensing system with static sensors and mobile robots with novel control optimization algorithms for dynamic adaptation, coordinated control and end to end resource management of all sensors in response to detected events to achieve overall system goals and objectives. Our system is designed for a host of applications, such as unmediated data monitoring and record keeping of the environment, battlefield monitoring using integrated ground, ocean and air sensors, and reactive operation to threats or changing conditions, and homeland security or border/road surveillance systems where unmanned vehicles can be deployed autonomously in response to detected events. Results for large area coastal monitoring are presented. Offline results using actual modeled data from in-situ sensory measurements demonstrate how the sensor parameters can be adapted to maximize observability of a freshwater plume while ensuring that individual system components operate within their physical limitations.
机译:未来无人值守的自治系统将涉及静态和移动传感器组,它们协同工作以实现总体任务目标。这样的系统可以看作是无线联网的无源异构传感器网络。我们讨论了具有静态传感器和移动机器人的分布式异构传感系统,该系统具有新颖的控制优化算法,可对所有传感器进行动态自适应,协调控制以及端到端资源管理,以响应检测到的事件以实现总体系统目标。我们的系统专为多种应用而设计,例如无中介的数据监控和环境记录,使用集成的地面,海洋和空中传感器进行战场监控,对威胁或变化情况做出反应性操作以及国土安全或边境/道路监控可以根据检测到的事件自动部署无人驾驶车辆的系统。介绍了大面积沿海监测的结果。使用来自原位感官测量的实际建模数据的离线结果表明,如何调整传感器参数以最大程度地观察淡水羽流,同时确保各个系统组件在其物理限制内运行。

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