面向拓扑感知的认知无线电传感器网络数据包大小优化

Chitradeep Majumdar, M. López-Benítez, A. Patel, S. Merchant
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引用次数: 1

摘要

在本文中,我们提出了一个框架来优化数据包长度和调制级别,以确定使用可变速率调制方案的拓扑感知认知无线电传感器网络(CRSNs)的最佳数据包大小(OPS)。采用特定主用户节点密度的广义网络拓扑来估计OPS。基于随机几何和非线性优化技术,建立了一个多变量联合优化问题来确定拓扑相关crsn的OPS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Packet Size Optimization for Topology Aware Cognitive Radio Sensor Networks
In this paper, we propose a framework to optimize the packet length and modulation level to determine the optimal packet size (OPS) for topology aware cognitive radio sensor networks (CRSNs) using a variable rate modulation scheme. A generalized network topology with specific node density of the Primary Users (PUs) is accounted to estimate the OPS. Based on stochastic geometry and non-linear optimization techniques, a joint multivariate optimization problem is formulated to determine the OPS for the topology dependent CRSNs.
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