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Wireless sensor networks with energy harvesting technologies: a game-theoretic approach to optimal energy management

机译:具有能量收集技术的无线传感器网络:一种从博弈论角度出发的最佳能量管理方法

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摘要

Energy harvesting technologies are required for autonomous sensor networks for which using a power source from a fixed utility or manual battery recharging is infeasible. An energy harvesting device (e.g., a solar cell) converts different forms of environmental energy into electricity to be supplied to a sensor node. However, since it can produce energy only at a limited rate, energy saving mechanisms play an important role to reduce energy consumption in a sensor node. In this article we present an overview of the different energy harvesting technologies and the energy saving mechanisms for wireless sensor networks. The related research issues on energy efficiency for sensor networks using energy harvesting technology are then discussed. To this end, we present an optimal energy management policy for a solar-powered sensor node that uses a sleep and wakeup strategy for energy conservation. The problem of determining the sleep and wakeup probabilities is formulated as a bargaining game. The Nash equilibrium is used as the solution of this game.
机译:自主传感器网络需要能量收集技术,对于这种传感器网络,无法使用固定公用事业公司的电源或手动电池充电。能量收集设备(例如太阳能电池)将不同形式的环境能量转换为电能,以提供给传感器节点。但是,由于它只能以有限的速率产生能量,因此节能机制在减少传感器节点的能耗方面起着重要的作用。在本文中,我们概述了不同的能量收集技术和无线传感器网络的节能机制。然后讨论了有关使用能量收集技术的传感器网络能效的相关研究问题。为此,我们提出了一种针对太阳能传感器节点的最佳能源管理策略,该策略使用睡眠和唤醒策略进行节能。确定睡眠和唤醒概率的问题被公式化为讨价还价游戏。纳什均衡被用作该游戏的解。

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