Energy Consumption Optimization of Cognitive Radio Relay Network Based on Energy Normalization

ZHAO Cheng; WU Ke-li; YAO Xin-wei; WANG Wan-liang

doi:10.3969/j.issn.0372-2112.2018.01.032

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Energy Consumption Optimization of Cognitive Radio Relay Network Based on Energy Normalization

更新时间：2025-07-16

- Energy Consumption Optimization of Cognitive Radio Relay Network Based on Energy Normalization
- Acta Electronica Sinica Vol. 46, Issue 1, Pages: 230-235(2018)
- 作者机构：
  
  1. 浙江工业大学计算机科学与技术学院,浙江,杭州,312400
  2. 浙江工业大学信息工程学院,浙江,杭州,312400
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2018.01.032
  CLC： TN925+.1
- Published Online：25 January 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
ZHAO Cheng, WU Ke-li, YAO Xin-wei, et al. Energy Consumption Optimization of Cognitive Radio Relay Network Based on Energy Normalization[J]. Acta Electronica Sinica, 2018, 46(1): 230-235.
DOI：

ZHAO Cheng, WU Ke-li, YAO Xin-wei, et al. Energy Consumption Optimization of Cognitive Radio Relay Network Based on Energy Normalization[J]. Acta Electronica Sinica, 2018, 46(1): 230-235. DOI： 10.3969/j.issn.0372-2112.2018.01.032.

摘要

针对使用电池的认知无线电（CR）节点能量消耗不均衡导致系统节点生存时间短，能量利用率低的问题，提出了一种基于双向中继（TWR）的无线通信能耗均衡通信系统.该系统由源节点、目的节点、双向中继及其接收节点组成，每个节点分配初始能量，节点间通过合理的方法设置发射功率来实现功率归一化处理，从而平衡节点间的能量，防止网络中部分节点由于能量耗尽过早消亡，实现无线通信网络中节点能量的均衡和网络生存寿命的最大化.仿真结果表明，本文提出的基于能量归一化均衡算法可最大化能效，并能提高能量利用率的同时延长系统生存时间.

Abstract

In view of the problem that the node energy consumption is not balanced and system survival time unbalanced

put forward a kind of energy consumption balancing communication system based on two-way relay (TWR) in Cognitive radio networks (CRN). The system consists of source node and destination node

two-way relay (TWR) and receiving nodes

each node distribute initial energy

through setting up reasonable transmitted power to achieve power normalization processing

balance the node energy

in order to prevent the part of the node perish due to run out of energy

to realize Cognitive radio network (CRN) node energy equilibrium and maximize survival of life. Simulation results show that the proposed based on the normalized energy equalization algorithm can maximize efficiency

extend the system survival time while improve the utilization ratio of energy.

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