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Mobility Management in Energy Constrained Self-Organizing Delay Tolerant Networks: An Autonomic Scheme Based on Game Theory

机译:能量受限的自组织时延容忍网络中的移动性管理:基于博弈论的自主方案

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Mobility increases the encounter probability in delay tolerant networks (DTNs) at the expense of increased energy consumption. A game theoretic approach is proposed to address the relevant trade-off between the encounter probability and the energy consumption due to mobility. A non-cooperative, two-strategy, symmetric game is formulated to regulate mobility in energy constrained DTNs. The relevant -player game gives rise to the proposed autonomic scheme that modifies traditional Poisson-based mobility models toward regulating nodes mobility in synchronized self-organizing DTNs aiming at efficiently employing the nodes residual energy resources. The DTN operation is organized in cycles and is composed of two phases. At the beginning of every cycle, the DTN nodes determine the energy cost due to mobility and, accordingly, engage either in the standard or in the game phase, during which the nodes probabilistically decide either to move following the mobility model adopted or to stay static. Both decisions are related to payoffs expressed in terms of the energy cost and the encounter probability. The numerical results show that the proposed scheme manages the relevant trade-off toward significantly prolonging the lifetime of DTNs amenable to encounter probability reduction.
机译:移动性增加了延迟容忍网络(DTN)中的遭遇概率,但以增加的能耗为代价。提出了一种博弈论方法来解决相遇概率和由于移动性引起的能量消耗之间的相关权衡。制定了一种非合作的两策略对称博弈,以调节受能量限制的DTN中的移动性。相关玩家游戏产生了提出的自主方案,该自主方案修改了传统的基于泊松的移动性模型,以在旨在有效利用节点剩余能量资源的同步自组织DTN中调节节点的移动性。 DTN操作按周期组织,并且分为两个阶段。在每个周期的开始,DTN节点确定由于移动性而产生的能源成本,并因此参与标准阶段或游戏阶段,在此期间,节点概率地决定遵循所采用的移动性模型进行移动还是保持静态。这两个决定都与以能源成本和遭遇概率表示的收益有关。数值结果表明,所提出的方案解决了相关的权衡问题,从而显着延长了DTN的寿命,使其能够降低概率。

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