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基于功率约束及节点频谱选择的认知协同路由

万智萍

重庆邮电大学学报(自然科学版)2016,Vol.28Issue(5):667-671,685,6.
重庆邮电大学学报(自然科学版)2016,Vol.28Issue(5):667-671,685,6.DOI:10.3979/j.issn.1673-825X.2016.05.009

基于功率约束及节点频谱选择的认知协同路由

Cognitive cooperative routing based on power constraints and node select spectrum

万智萍1

作者信息

  • 1. 中山大学 新华学院,广州510520
  • 折叠

摘要

Abstract

This paper proposed a cooperative routing algorithm to enhance the efficiency of data transmission and optimize the energy load on cognitive radio network.Design of a collaborative network architecture based on collaboration between the cover technology and the underlying technology,the architecture provided a new spectrum policy choice for the network band performance diversification,to enhance the effectiveness of spectrum resources.Spectrum and node power allocation method of maximize link capacity was proposed by combining interference characteristics of collaborative network spectrum selection and according spectrum interference and power constraints.Spectrum utility parameter was introduced in collabo-rative routing design to optimize energy and transport efficiency of the routing nodes,while the metric parameters related to the residual energy and link capacity.Comparison simulation results show that effectively using channel access opportuni-ties,the algorithm could improve the transmission efficiency.Compared with the multicast routing method based on the competitive evolution algorithm,the cooperative routing algorithm has advantages respectively in increasing the success rate of data package transmission by 1.4%,increasing the average internet throughput by 8.4%,and increasing the average re-maining energy load by 3.2%,it also has a good performance in load balancing node.

关键词

认知协同路由/底层和覆盖网络/频谱选择/传输效率/能量负载

Key words

cognitive cooperative routing/underlying network coverage/spectrum selection/transmission efficiency/energy load

分类

信息技术与安全科学

引用本文复制引用

万智萍..基于功率约束及节点频谱选择的认知协同路由[J].重庆邮电大学学报(自然科学版),2016,28(5):667-671,685,6.

基金项目

广东省青年创新人才自然科学基金 ()

重庆邮电大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1673-825X

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