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Collision Tolerant and Collision Free Packet Scheduling for Underwater Acoustic Localization

机译:水下声定位的防碰撞和无碰撞分组调度

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摘要

This article considers the joint problem of packet scheduling and self-localization in an underwater acoustic sensor network with randomly distributed nodes. In terms of packet scheduling, our goal is to minimize the localization time, and to do so we consider two packet transmission schemes, namely a collision-free scheme (CFS), and a collision-tolerant scheme (CTS). The required localization time is formulated for these schemes, and through analytical results and numerical examples their performances are shown to be dependent on the circumstances. When the packet duration is short (as is the case for a localization packet), the operating area is large (above 3 km in at least one dimension), and the average probability of packet-loss is not close to zero, the collision-tolerant scheme is found to require a shorter localization time. At the same time, its implementation complexity is lower than that of the collision-free scheme, because in CTS, the anchors work independently. CTS consumes slightly more energy to make up for packet collisions, but it is shown to provide a better localization accuracy. An iterative Gauss-Newton algorithm is employed by each sensor node for self-localization, and the Cramér Rao lower bound is evaluated as a benchmark.
机译:本文考虑具有随机分布节点的水下声传感器网络中分组调度和自定位的联合问题。在数据包调度方面,我们的目标是最大程度地减少定位时间,为此,我们考虑了两种数据包传输方案,即无冲突方案(CFS)和容错方案(CTS)。针对这些方案制定了所需的定位时间,并通过分析结果和数值示例证明了其性能取决于具体情况。当数据包持续时间较短时(例如本地化数据包),工作区域较大(至少一维在3 km以上),并且数据包丢失的平均概率不接近零,因此,发现容错方案需要更短的定位时间。同时,它的实现复杂度低于无冲突方案,因为在CTS中,锚点是独立工作的。 CTS会消耗更多的能量来弥补数据包冲突,但事实证明它提供了更好的定位精度。每个传感器节点采用迭代高斯-牛顿算法进行自定位,并以CramérRao下界作为基准。

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