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Design and Analysis of Sensing Scheduling Algorithms under Partial Coverage for Object Detection in Sensor Networks

机译:传感器网络中目标检测下部分覆盖的传感调度算法的设计与分析

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摘要

Object detection quality and network lifetime are two conflicting aspects of a sensor network, but both are critical to many sensor applications such as military surveillance. Partial coverage, where a sensing field is partially sensed by active sensors at any time, is an appropriate approach to balancing the two conflicting design requirements of monitoring applications. Under partial coverage, we develop an analytical framework for object detection in sensor networks, and mathematically analyze average-case object detection quality in random and synchronized sensing scheduling protocols. Our analytical framework facilitates performance evaluation of a sensing schedule, network deployment, and sensing scheduling protocol design. Furthermore, we propose three wave sensing scheduling protocols to achieve bounded worst-case object detection quality. We justify the correctness of our analyses through rigorous proof, and validate the effectiveness of the proposed protocols through extensive simulation experiments.
机译:对象检测质量和网络寿命是传感器网络的两个相互矛盾的方面,但是对于许多传感器应用(例如军事监视)而言,两者都是至关重要的。局部覆盖是在任何时候都被有源传感器部分感应到的感应场,是一种平衡监视应用程序的两个相互矛盾的设计要求的合适方法。在部分覆盖下,我们开发了一种用于传感器网络中目标检测的分析框架,并在随机和同步传感调度协议中对平均情况下的目标检测质量进行了数学分析。我们的分析框架有助于对感知调度,网络部署和感知调度协议设计进行性能评估。此外,我们提出了三种波检测调度协议,以实现有界最坏情况下的目标检测质量。我们通过严格的证明来证明我们分析的正确性,并通过广泛的模拟实验来验证所提出协议的有效性。

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