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On the Role of Interaction Between Sensors in the CEO Problem

机译:传感器之间的交互作用在CEO问题中的作用

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摘要

The CEO problem has recently received attention as an abstraction of remote estimation in sensor networks. It models a group of sensors who observe independently corrupted versions of a hidden source which a central unit (CEO) is interested in estimating. The agents encode their observations without co-operating with one another and communicate the encoded bits through rate constrained noiseless channels to the CEO. In this paper we explore the possibility of co-operation between sensors. In particular, we consider two forms of co-operation. In one scenario, the sensors can communicate with each other over rate constrained noiseless channels, and in the other, the sensors broadcast their messages to all the other sensors and the CEO. In both scenarios, the sensors take turns sending messages over multiple rounds of communication. We derive a single-letter lower bound for the sum-rate in the broadcast scenario. While in general both setups may lead to a reduction in the sum-rate of communication over the CEO problem, we show using the lower bound that for the Gaussian problem there is no advantage.
机译:最近,CEO问题作为传感器网络中远程估计的抽象而受到关注。它对一组传感器进行建模,这些传感器观察独立损坏的隐藏源版本,中央部门(CEO)对此有兴趣进行估算。代理无需彼此合作即可对他们的观察进行编码,并通过速率受限的无噪声通道将编码后的比特传达给CEO。在本文中,我们探讨了传感器之间合作的可能性。特别是,我们考虑两种形式的合作。在一种情况下,传感器可以通过速率受限的无噪声通道相互通信,而在另一种情况下,传感器将其消息广播给所有其他传感器和CEO。在这两种情况下,传感器轮流通过多轮通信发送消息。我们得出广播方案中总和率的单字母下限。虽然一般而言,这两种设置都可能导致CEO问题上的沟通总速率降低,但我们使用下限表明,对于高斯问题,没有优势。

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