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Impact of Distributed Resource Allocation in Sensor Networks

机译:传感器网络中分布式资源分配的影响

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Sensor networks have generated much interest in the research community because they have a wide range of potentially impactful applications. In this field, one of the major research challenges is the distributed resource allocation problem. This problem concerns how one should allocate or schedule the limited resources in a sensor network to minimize costs and maximize capability. Although various distributed resource allocation techniques have been proposed, the impact of such techniques on real application scenarios of sensor networks is not well understood. In this paper, we study the impact of distributed resource allocation in two realistic application scenarios; namely, the tasking of look-sectors for cameras to monitor vehicle movement, and the sensor mode management in an acoustic sensor network to track vehicle movement. Our simulation results for these two scenarios indicate that with distributed resource allocation, a sensor network can provide a good tradeoff between performance objectives such as target tracking accuracy, coverage area, and network lifetime.
机译:传感器网络在研究界引起了极大的兴趣,因为它们具有广泛的潜在影响应用程序。在这一领域,主要的研究挑战之一是分布式资源分配问题。这个问题涉及如何在传感器网络中分配或调度有限的资源以最小化成本和最大化能力。尽管已经提出了各种分布式资源分配技术,但是这种技术对传感器网络的实际应用场景的影响还没有被很好地理解。在本文中,我们研究了分布式资源分配在两个实际应用场景中的影响;即,相机的外观部分的任务是监视车辆的运动,而声学传感器网络中的传感器模式管理则是用来跟踪车辆的运动的。我们针对这两种情况的仿真结果表明,通过分布式资源分配,传感器网络可以在性能目标(例如目标跟踪精度,覆盖范围和网络寿命)之间提供良好的权衡。

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