利用混合能量收集方法最大化无线传感器网络的寿命

Boulerial Dalila, Kechar Bouabdellah, Benzerbadj Ali
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引用次数: 1

摘要

21世纪的标志是物联网的显著扩张。这项技术使我们能够永久地与我们的物体连接,从而监控我们日常生活中可能至关重要的每一次互动。在这项技术最重要的分支中,我们对带有移动接收器的无线传感器网络(简称WSN-MS1)感兴趣。这些网络虽然在物联网(IoT)世界中非常有用和高效[33],[34],但它们面临着严峻的挑战,特别是确保它们非常有限的使用寿命的电池,以及传输节点和移动接收器之间链路断开的问题。在本文中,我们提出了一种新的EH-HXMAC方法,通过从两个最强大的来源(太阳和风)收集环境能量,并通过作用于发射节点的占空比来解决第一个问题。为了解决第二个问题,我们采用了确保传感器和移动接收器之间数据传输完整性的切换技术。在Cooja Contiki模拟器上进行的仿真结果表明,这三种技术的结合在网络生存期、吞吐量和接收包数方面都有改善。
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Maximizing The Lifetime of WSN Using Hybrid Energy Harvesting Approach
The 21st century is marked by a remarkable expansion of IoT. This technology that allows us to connect with our objects permanently and thus monitor each interaction that may be crucial in our daily life. And among the most important bronchi of this technology we are interested in wireless sensor networks with mobile sink (WSN-MS1 for short). These networks, while being very useful and efficient in the world of internet of things (IoT)[33],[34], they face serious challenges, particularly that of the battery which ensures them a very limited lifetime, as well as the problem of the broken links between the transmitting nodes and the mobile sink. In this paper, we have proposed a new approach EH-HXMAC that solves the first problem by collecting ambient energy from the two most powerful sources (the sun and the wind), and by acting on the duty cycle of the emitting nodes. To remedy the second problem, we have resorted to the Handover technique which ensures data transmission integrity between the sensor and the mobile sink. The results of the simulation carried out by the Cooja Contiki simulator show that the combination of these three techniques provides an improvement in terms of network lifetime , throughput and received packets number.
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