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Energy efficiency improvement based on optimal buffer thresholds model for wireless sensor devices

机译:基于最佳缓冲阈值模型的无线传感器设备能效改进

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In Wireless Sensor Networks(WSNs), energy efficiency is important because it is difficult to replace battery of sensor nodes frequently. To apply suitable MAC protocol to WSNs, it is essential to maximize the battery power of sensor devices. Group Management MAC(GM-MAC) is one of the MAC protocols that can greatly save sensors' battery power. However, there may be data loss and bottleneck phenomenon with original buffer threshold scheme of GM-MAC. In this paper, we have proposed a new buffer thresholds model. In order to verify performance improvement of the proposed scheme, it has been simulated and compared with original buffer threshold method. In addition, it is compared with mathematical theory. A new buffer thresholds model has been verified to improve energy efficiency and have no data loss at all. It can be used in wide range of WSNs topologies with mobile sensor nodes.
机译:在无线传感器网络(WSN)中,能源效率非常重要,因为很难经常更换传感器节点的电池。为了将适当的MAC协议应用于WSN,必须最大化传感器设备的电池电量。组管理MAC(GM-MAC)是可以大大节省传感器电池电量的MAC协议之一。但是,使用GM-MAC的原始缓冲区阈值方案可能会出现数据丢失和瓶颈现象。在本文中,我们提出了一个新的缓冲阈值模型。为了验证所提出方案的性能改进,已对其进行了仿真并与原始缓冲区阈值方法进行了比较。另外,将其与数学理论进行比较。新的缓冲区阈值模型已经过验证,可以提高能源效率,并且完全没有数据丢失。它可以用于带有移动传感器节点的各种WSN拓扑中。

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