Directed diffusion based on weighted Grover's quantum algorithm (DWGQ)

Anas Bushnag, Ali Alessa, Minzhi Li, K. Elleithy
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引用次数: 4

Abstract

Wireless sensor networks (WSN) have become involved in many different areas such as military, disaster management, and many other civic uses. So, improving the overall performance of the network is very necessarily to achieve the desired aim. One of the most famous protocols that used in wireless sensor networks is the Directed Diffusion protocol. Also, Quantum computing is a new field in computer science and it tries to speed up the process of any computation by parallelizing the work using the same hardware. Therefore, in this study a comparison is conducted between the classical Directed Diffusion Protocol and the proposed protocol that based on the weighted Grover's Quantum Algorithm. An example of the proposed solution shows that our protocol is performing much better in case of end-to-end delay and power consumption.
基于加权Grover量子算法(DWGQ)的定向扩散
无线传感器网络(WSN)已经涉及到许多不同的领域,如军事、灾害管理和许多其他民用用途。因此,提高网络的整体性能是实现预期目标的必要条件。无线传感器网络中使用的最著名的协议之一是定向扩散协议。此外,量子计算是计算机科学的一个新领域,它试图通过使用相同的硬件并行化工作来加快任何计算的过程。因此,本研究将经典的定向扩散协议与基于加权Grover量子算法的协议进行了比较。一个示例表明,我们的协议在端到端延迟和功耗情况下的性能要好得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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