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Deployment of fault tolerant sensor networks for target detection.

机译:部署用于目标检测的容错传感器网络。

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Sensor networks are expected to bridge the gap between the physical world and the information world. The capabilities of sensor networks to monitor the physical environment can be used in almost every scientific discipline and also in defense, home, and biomedical applications. Some of the challenges in building these networks include the development of small stand-alone hardware, collaborative signal processing, and networking. The constraints specific to sensor networks are the distribution of information among nodes, the limitations of processing power, storage capabilities and power supply at each node. Also, the communication among nodes is constrained by the bandwidth available. Finally, node failures are expected due to the harsh environment in which sensor networks can be deployed.; This thesis investigates the deployment of sensor networks in a geographic region for target detection. Its main focus is to consider the presence of faulty sensors in the network and to develop methods to build a system robust to these faults. Two problems are formulated, one concerning the collaboration of sensors to answer a detection query and another concerning the deployment of sensors to cover the region of interest. A model is developed as a framework to study the two problems and a survey of previous work relevant to this study is conducted. Two algorithms are developed to perform distributed target detection. These algorithms are analyzed and their performances in the absence and in the presence of faulty sensors are evaluated. To solve the sensor deployment problem, a metric is developed to measure the quality of a given deployment for detecting targets in the region of interest. That metric, namely minimum exposure, assesses the performance in detecting targets carrying out various unauthorized activities in the region. The minimum exposure can be computed for targets traveling at variable speed and in the presence of obstacles in the sensors field. Further, the metric can also be evaluated assuming that a subset of the sensors is faulty. This thesis uses minimum exposure to develop a deployment strategy in which sensors are deployed sequentially in steps until a performance level is reached.
机译:传感器网络有望弥合物理世界和信息世界之间的鸿沟。传感器网络监视物理环境的功能几乎可以用于所有科学学科,也可以用于国防,家庭和生物医学应用。建立这些网络的一些挑战包括小型独立硬件的开发,协作信号处理和联网。传感器网络特有的约束条件是节点之间的信息分布,每个节点的处理能力,存储能力和电源的限制。而且,节点之间的通信受到可用带宽的限制。最后,由于恶劣的环境中可以部署传感器网络,预计节点故障。本文研究了用于目标检测的地理区域中传感器网络的部署。它的主要重点是考虑网络中是否存在故障传感器,并开发出构建对这些故障具有鲁棒性的系统的方法。提出了两个问题,一个问题涉及传感器的协作以回答检测查询,另一个问题涉及传感器的部署以覆盖关注区域。开发了一个模型作为研究这两个问题的框架,并对与该研究有关的先前工作进行了调查。开发了两种算法来执行分布式目标检测。分析了这些算法,并评估了在不存在和存在故障传感器的情况下的性能。为了解决传感器部署问题,开发了一种度量来测量给定部署的质量,以检测感兴趣区域中的目标。该指标(即最低暴露量)评估了在检测执行该区域各种未经授权活动的目标时的性能。可以针对在传感器区域中变速行驶且有障碍物的目标计算最小曝光。此外,还可以在假设传感器的子集有故障的情况下评估度量。本文使用最小的接触来制定部署策略,在该策略中,传感器将逐步部署,直到达到性能水平。

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