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A Novel Data Collection Approach for Wireless Sensor Networks Powered with Ambient Energy

机译:一种新型的环境能量无线传感器网络数据收集方法

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Wireless sensor networks have become the preferred solution in many applications. The main restriction in using wireless sensor nodes is that the power source of the sensor nodes is limited, as these sensors usually rely on batteries. Typically, a wireless sensor network (WSN) deploys a large number of sensors. When the sensors' batteries run out, they need to be replaced. The replacement process is a costly process. Using ambient resource such as solar, wind, etc. to power a wireless sensor network is a promising solution. In this paper, a Data Collection Energy-Efficient Routing Protocol with Harvested Energy is proposed. The node's reaming energy, energy harvesting rate, packet data rate and node capability are key parameters that are considered to build an efficient tree for collecting data. Extensive simulation experiments have been conducted using NS-3 to study the behavior of the proposed algorithm. The simulation results demonstrate the effectiveness of the proposed approach and its outstanding performance compared to AODV.
机译:无线传感器网络已成为许多应用中的首选解决方案。使用无线传感器节点的主要限制是传感器节点的电源受到限制,因为这些传感器通常依赖电池。通常,无线传感器网络(WSN)部署大量传感器。当传感器的电池用完时,需要更换它们。更换过程是一个昂贵的过程。使用太阳能,风能等环境资源为无线传感器网络供电是一种很有前途的解决方案。本文提出了一种具有采集能量的数据收集节能路由协议。节点的扩孔能量,能量收集速率,分组数据速率和节点能力是关键参数,这些参数被认为可以构建用于收集数据的有效树。已经使用NS-3进行了广泛的仿真实验,以研究所提出算法的行为。仿真结果证明了该方法的有效性及其与AODV相比的出色性能。

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