联合多分组接收和模糊逻辑控制功率策略

韩江洪; 胡松华; 刘斌; 陈振; 刘磊

doi:10.11959/j.issn.1000-436x.2015029

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联合多分组接收和模糊逻辑控制功率策略

学术论文 | 更新时间：2024-06-05

- 联合多分组接收和模糊逻辑控制功率策略
- Power control strategy with joint of multi-packet reception and fuzzy logic control
- 通信学报 2015年36卷第2期页码：11-19
- 作者机构：
  
  1. 合肥工业大学计算机与信息学院，安徽合肥 230009
  2. 河南理工大学电气工程与自动化学院，河南焦作 454000
- 作者简介：
  
  [ "韩江洪（1954-），男，江苏南京人，合肥工业大学教授、博士生导师，主要研究方向为安全关键工业控制、无线传感网、网络通信等。" ]
  [ "胡松华（1976-），男，湖南邵阳人，合肥工业大学博士生，河南理工大学讲师，主要研究方向为无线网络优化、功率控制。" ]
  [ "刘斌（1975-），男，山东郓城人，合肥工业大学博士生，主要研究方向为无线通信、无线网络优化。" ]
  [ "陈振（1980-），男，安徽安庆人，合肥工业大学博士生，主要研究方向为智能控制。" ]
  [ "刘磊（1982-），男，安徽合肥人，合肥工业大学博士生，主要研究方向为压缩感知理论、无线传感器网络定位、汽车电子。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61370088);教育部博士点基金资助项目(20100111110004)
- DOI：10.11959/j.issn.1000-436x.2015029
  中图分类号： TN911.7
- 网络出版日期：2015-02，
  
  纸质出版日期：2015-02-25
- 稿件说明：
移动端阅览
韩江洪, 胡松华, 刘斌, 等. 联合多分组接收和模糊逻辑控制功率策略[J]. 通信学报, 2015,36(2):11-19.

Jiang-hong HAN, Song-hua HU, Bin LIU, et al. Power control strategy with joint of multi-packet reception and fuzzy logic control[J]. Journal on communications, 2015, 36(2): 11-19.
韩江洪, 胡松华, 刘斌, 等. 联合多分组接收和模糊逻辑控制功率策略[J]. 通信学报, 2015,36(2):11-19. DOI： 10.11959/j.issn.1000-436x.2015029.

Jiang-hong HAN, Song-hua HU, Bin LIU, et al. Power control strategy with joint of multi-packet reception and fuzzy logic control[J]. Journal on communications, 2015, 36(2): 11-19. DOI： 10.11959/j.issn.1000-436x.2015029.

摘要

针对无线网络节约能耗的要求，提出了一种联合多分组接收和模糊逻辑控制功率策略，采用串行干扰消除法，根据无线节点的传输功率等级，将功率等级划分为多分组接收能够正常解码的功率等级，并以任一无线节点到邻接节点的距离、邻接节点的个数和无线节点的剩余能耗为模糊逻辑控制的输入参数来控制各无线节点的功率选择。仿真结果表明，与现有的几种经典的基于功率控制的串行干扰消除算法方案相比，联合多分组接收和模糊逻辑控制功率策略的无线网络具有更大的有效吞吐量及更长的生存时间。

Abstract

In order to meet the needs of energy saving in wireless networks

a power control strategy with joint of multi-packet reception and fuzzy logic was proposed.Firstly

based on the power control with successive interference cancellation (SIC)

transmission power was divided into several decodable power levels.Secondly

fuzzy logic control algorithm was adopted to select the optimal transmission power for SIC.In addition

three parameters were designed as fuzzy logic control inputs for power selection

which were the distance between transmitters and receivers

the number of neighboring nodes and the residual energy of transmitters.Simulation results show that power control strategy with joint of multi-packet reception and fuzzy logic control not only betters average network throughput than other power control strategy for SIC

but also saves more energy so that the network lifecycle would be significantly extended.

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