一种新的超宽带自组网微网形成算法

M. Gong, S. Midkiff, R. Buehrer
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引用次数: 18

摘要

提出了一种新的超宽带(UWB)网络微网形成算法(PFA)。该算法采用主从结构,尽量减少主节点的总传输功率和微网间的干扰。美国联邦通信委员会(FCC)对超宽带设备的传输功率进行了严格的功率限制。为了符合FCC功率规定并保持最大网络容量,我们提出了一种算法,该算法选择与相邻节点平均距离最小的节点作为主节点,形成在给定无线电范围内具有最小总发射功率的微网。仿真结果表明,在各种情况下,该算法在功率发射方面都优于随机选择算法。当无线电距离较大时,PFA算法的性能可以接近最优k-means算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new piconet formation algorithm for UWB ad hoc networks
This paper describes a new piconet formation algorithm (PFA) for ultra-wideband (UWB) networks. The algorithm adopts a master-slave configuration and tries to minimize the total transmission power of master nodes and interference within piconets. The U.S. Federal Communication Commission (FCC) has imposed strict power regulations on the transmission power of UWB devices. To comply with FCC power regulations and to maintain maximum network capacity, we propose an algorithm that selects the nodes with the minimum average distance to neighboring nodes as the master nodes forms piconets that have the minimum total emission power for a given radio range. Simulation results show that the proposed algorithm performs better than a random selection algorithm in terms of power emission under all circumstances. The performance of PFA can approach the performance of the optimal k-means algorithm when the radio range is large.
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