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Spatio-temporal information coupling in cooperative network navigation

机译:协同网络导航中的时空信息耦合

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摘要

The availability of reliable positional information is a key enabler for numerous emerging location-based applications. Network navigation via joint spatial and temporal cooperation can provide mobile nodes with high-accuracy and robust positional information. Meanwhile, this joint cooperation incurs intricate information acquisition due to the correlation in inferred nodes' position, referred to as information coupling. In this paper, we quantify the information coupling in four representative scenarios by Fisher information analysis. We show that the information obtained by each node is a sum of the contribution from its own spatio-temporal cooperation and information coupling due to the cooperation of its neighbors. Our results shed lights on the complex information acquisition in network navigation, and can serve as a design guideline for efficient network navigation algorithms.
机译:可靠的位置信息的可用性是众多新兴的基于位置的应用程序的关键推动力。通过联合的时空协作进行网络导航可以为移动节点提供高精度和鲁棒的位置信息。同时,由于推断节点位置之间的相关性,这种联合合作导致复杂的信息获取,称为信息耦合。在本文中,我们通过Fisher信息分析量化了四种代表性方案中的信息耦合。我们表明,每个节点获得的信息是其自身的时空合作和邻居之间的合作导致的信息耦合贡献的总和。我们的结果为网络导航中的复杂信息获取提供了启示,并可以作为高效网络导航算法的设计指南。

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