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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, the authors quantify the information coupling in four representative scenarios by Fisher information analysis. They 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.
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