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Design under constraints of availability and energy for sensor node in wireless sensor network

机译:无线传感器网络中传感器节点在可用性和能量约束下的设计

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Wireless Sensor Network (WSN) technology has been getting a lot of attention in recent years due to its low-cost, portability, easy deployment, self-organisation, and reconfigurability. Two main challenges faced by designers are availability and power/energy management for WSN. This paper presents a design for a wireless sensor node, which provides automated reconfiguration for both availability and energy-efficient use. This design introduces an original device named Power and Availability Manager (PAM) combined with a FPGA. The first one is considered as the intelligent part for the best use of energy and fault-tolerance, while the other enhances the availability in case of hardware failure for a node. Simulation model of these solutions together is based on General Stochastic Petri Net (GSPN). The results indicate a gain of availability from 9% to 31% for sensor node over twelve years, from 9% to 46% for sensor cluster over eighteen years, from 11% to 45% for whole network over fifty years. Our approach also results in significant energy-saving : up to 61% by using DPM policy, and up to 62.5% by using DPM and DVFS policies over seven days. These results allow us to evaluate and to show a design of WSN node for increased availability as well as energy-saving by using our approach.
机译:近年来,无线传感器网络(WSN)技术由于其低成本,可移植性,易于部署,自组织和可重新配置性而受到了广泛关注。设计人员面临的两个主要挑战是WSN的可用性和电源/能源管理。本文提出了一种用于无线传感器节点的设计,该节点提供了自动重新配置以实现可用性和高能效使用。该设计引入了一个称为Power and Availability Manager(PAM)的原始设备,该设备与FPGA相结合。第一个被认为是最佳利用能量和容错的智能部分,而另一个则在节点发生硬件故障的情况下提高可用性。这些解决方案的仿真模型共同基于通用随机Petri网(GSPN)。结果表明,在十二年中,传感器节点的可用性从9%提高到31%,在十八年中,传感器集群的可用性从9%提高到46%,在整个五十年中,整个网络的可用性从11%提高到45%。我们的方法还实现了显着的节能效果:使用DPM策略可节省多达61%的能耗,而使用DPM和DVFS策略可在7天内节省多达62.5%的能耗。这些结果使我们能够评估并展示一种WSN节点的设计,以通过使用我们的方法来提高可用性以及节省能源。

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