• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

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基于多频段传感器辅助认知无线电网络的高能效传感器调度算法

张云蕾,刘开华,马永涛,李洋   

  1. (天津大学电子信息工程学院,天津 300072)
  • 收稿日期:2016-01-06 修回日期:2016-05-03 出版日期:2017-08-25 发布日期:2017-08-25
  • 基金资助:

    国家自然科学基金(61401301);国网天津市电力公司科技项目

An energy-efficient sensor scheduling algorithm based
on multi-band sensor-aided cognitive radio networks
 

ZHANG Yun-lei,LIU Kai-hua,MA Yong-tao,LI Yang   

  1. (School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China)
     
  • Received:2016-01-06 Revised:2016-05-03 Online:2017-08-25 Published:2017-08-25

摘要:

在传感器协助认知无线电网络中,传统的高能效传感器调度问题只考虑了一个频段。多频段的传感器调度问题有许多新的研究领域。建立了一种多频段传感器调度问题的模型,提出了一种用于提高认知网络通信容量的基于遗传算法的高能效调度算法。模型考虑了传感器切换频段的能量消耗。在问题模型中,认知基站基于提高能效的目标为每个频段分配一组传感器进行协作感知。基于遗传算法的高能效调度算法通过优化传感器的调度使认知网络达到最大的通信容量,从而达到高能效的目标。仿真结果表明,本文的算法可以比贪心算法以及其他算法取得更高的网络通信容量。

 

关键词: 认知无线电, 传感器调度问题, 通信容量最大, 遗传算法

Abstract:

Traditional energy-efficient sensor scheduling problems only consider single frequency band in sensor-aided cognitive radio networks. Multi-band energy-efficient sensor scheduling problems have many novel research fields. We formulate a multi-band sensor scheduling problem and propose a genetic algorithm based energy-efficient scheduling algorithm to improve the throughput. We take account of the energy consumption of the sensor when switching frequency bands. In the model, the cognitive base station assigns a set of sensors for each frequency to improve energy efficiency. The genetic algorithm based energy-efficient scheduling algorithm optimally schedules the activities of the sensors to increase the overall secondary system throughput and achieve the goal of energy efficiency. Simulation results show that our algorithm achieves higher network throughput than the greedy algorithm and other algorithms.
 

Key words: cognitive radio, sensor scheduling problem, throughput maximization, genetic algorithm