1. 河南科技学院 机构 信息工程学院,河南,新乡,453003
2. 武汉理工大学 信息工程学院,湖北,武汉,430070
纸质出版:2017
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王建平, 王全蕊, 朱凤杰, 陈伟, 韩亚峰. 基于MIMO分集和复用折衷的水下传感器网络节能算法[J]. 微电子学与计算机, 2017, 34(3): 136-140.
WANG Jian-ping, WANG Quan-rui, ZHU Feng-jie, et al. An Energy-Efficient Algorithm Based on the Tradeoff Diversity and Multiplexing of MIMO for Underwater Sensor Networks(UWSNs)[J]. 2017, 34(3): 136-140.
提出了一种权衡分集和复用MIMO技术的水下传感器网络节能算法.设计了水下传感器网络信号传播模型
实现了MIMO复用和分集折衷的节能方案.基于MATLAB进行了算法的仿真实验
对比了此算法和MIMO全分集、MIMO全复用算法的性能.结果表明
提出的算法在保证了传输可靠性的基础上实现了节点能耗降低
延长了水下传感器网络的生存时间
提高了传输速率、降低了误码率.
In this paper
we propose an energy-efficient algorithm for which weighs the diversity and multiplexing of MIMO technology. We design the signal propagation model of UWSNs
and realize an energy-efficient solution based on the tradeoff between multiplexing and diversity of MIMO. Finally
we conduct the simulation experiment by MATLAB
then compare the performance of three algorithms
which are MIMO full diversity
MIMO full multiplexing and MIMO based on the tradeoff diversity and multiplexing. The simulation results show that the proposed algorithm in guarantee the transmission reliability on the basis of reducing the energy consumption
and prolong the survival time
enhance the transmission rate and reduce the bit error rate of UWSNs.
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