基于中继选择和协作MIMO的两跳WSNs能效性能  被引量:1

Study on Energy-Efficient Performance Based on Relay Selection and MIMO in Two-Hop Wireless Sensor Networks

在线阅读下载全文

作  者:易晓庆 苏少花 刘星成 邹恩 YI Xiao-qing;SU Shao-hua;LIU Xing-cheng;ZOU En(School of Electronics and Information Technology,Sun Yat-sen University,Guangzhou 510006,China;School of Information Science,Xinhua College of Sun Yat-sen University,Guangzhou 510520,China)

机构地区:[1]中山大学电子与信息工程学院,广州510006 [2]中山大学新华学院信息科学学院,广州510520

出  处:《北京邮电大学学报》2018年第3期63-68,共6页Journal of Beijing University of Posts and Telecommunications

基  金:国家自然科学基金项目(61572534,61173018,61602531)

摘  要:为解决无线传感器网络(WSNs)的能量效率问题,构建了两跳(WSNs)系统模型.针对两跳模型中的中继选择策略进行了优化,分别提出了切换检测合并、带后验选择的切换检测合并中继选择策略,节省了中继节点的检测次数,从而节省了系统能耗.在中继处加入协作多输入多输出(MIMO)的思想,进一步提升了系统的能效性能.理论和仿真结果表明,提出的切换检测合并和切换检测合并中继选择策略在能效性能上均比传统的选择合并策略优越,特别是切换检测合并策略在牺牲中断概率性能的情况下能效性能最好.In order to solve the problem of energy efficiency in wireless sensor networks(WSNs),a twohop WSNs system model was built. Aiming at optimizing the relay selection(RS) strategy in the two-hop WSNs system model,two RS strategies named switch-and-examine combining(SEC) and switch-and-examine combining with post-selection(SECps) were proposed. The two relay selection strategies will save the number of examining the relay nodes,and as well,save the energy consumption of system. After joining the idea of cooperative multi-input multi-output in the relay,the energy-efficient performance of system was further enhanced. Simulations show that,the two proposed RS strategies based on SEC and SECps,both outperform the traditional RS strategy based on selection combining(SC) with respect to energy efficiency. Especially,the SEC RS strategy obtains the best performance of energy efficiency,with reducing the performance of outage probability.

关 键 词:无线传感器网络 多输入多输出 中继选择 中断概率 能量效率 

分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置] TN929[自动化与计算机技术—控制科学与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象