更新过程-认知无线电自组织网络中能量感知路由的应用

Minh-Phuong Tran, Dong-Seong Kim
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引用次数: 2

摘要

本文提出了一种基于更新过程的能量感知路由算法,用于选择具有高度竞争性的认知无线自组织网络(CRANs)路由性能。此外,我们还提出了一种新的介质接入方案,即通过频谱预测让辅助用户接入主用户的信道。因此,所提出的算法可以允许在认知无线网络的源节点和目的节点之间选择相应的最小能量的路由。本文的贡献是通过网络中的能量利用来实现的。仿真结果表明,该算法可以优化系统能耗、吞吐量和端到端时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewal process - Application on energy-aware routing in cognitive radio ad hoc networks
In this paper, an energy-aware routing algorithm based on renewal process is proposed to choose highly competitive solutions for routing performance in cognitive radio ad hoc networks (CRANs). Moreover, we propose a new medium access scheme through spectrum forecast for secondary users to access the primary users' channels. Thereby, the proposed algorithm can allow selected routes corresponding to minimum energy possible between source and destination nodes in cognitive radio networks. The contribution of this paper is achieved through energy utilized in the network. Simulation results show that energy consumption, system throughput and end-to-end delay can be optimized by using proposed algorithms.
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