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Coordination minority games in delay tolerant networks

机译:延迟容忍网络中的协调少数游戏

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摘要

In this paper we introduce a novel framework for the distributed control of DTNs. The mechanism that we propose tackles a crucial aspect of such systems: in order to support message replication the devices acting as relays need to sacrifice part of their batteries. The aim is thus to provide a reward mechanism able to induce activation of relays in a coordinated fashion. The proposed scheme functions in non-cooperative fashion, and requires minimal message exchange to operate. In particular, relays choose among two strategies: either to participate to message relaying, or not to participate in order to save energy. The base for our mechanism design is to define the relays' utility function according to a minority game; in fact, relays compete to be in the population minority with respect to activation. By tuning the activation level, the system can hence control and optimize the DTN operating point in a distributed manner. To this respect, we characterize extensively the possible equilibria of this game. Finally, a stochastic learning algorithm is proposed which can provably drive the system to the equilibrium solution without requiring perfect state information at relay nodes. We provide extensive numerical results to validate the proposed scheme.
机译:在本文中,我们介绍了一种用于DTN分布式控制的新颖框架。我们提出的机制解决了此类系统的关键问题:为了支持消息复制,充当中继的设备需要牺牲部分电池。因此,目的是提供一种奖励机制,该机制能够以协调的方式诱发继电器的激活。所提出的方案以非合作方式起作用,并且需要最少的消息交换来进行操作。中继尤其要在以下两种策略中选择:参与消息中继或不参与以节省能量。我们的机构设计的基础是根据少数游戏定义继电器的效用函数。实际上,中继器在激活方面竞争成为少数族裔。通过调整激活级别,系统可以因此以分布式方式控制和优化DTN工作点。在这方面,我们广泛地描述了该游戏的可能平衡点。最后,提出了一种随机学习算法,该算法可以证明系统可以将系统驱动到平衡解,而无需在中继节点上获得完美的状态信息。我们提供广泛的数值结果来验证所提出的方案。

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