[1]喻超[],芮雄丽[],曹雪虹[]. 基于功率分配与中继选择联合优化的协作MAC[J].计算机技术与发展,2016,26(10):6-10.
　YU Chao[],RUI Xiong-li[],CAO Xue-hong[]. A Cooperative MAC Based on Joint Optimization of Power Allocation and Relay Selection[J].,2016,26(10):6-10.
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 基于功率分配与中继选择联合优化的协作MAC()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年10期
页码:
6-10
栏目:
智能、算法、系统工程
出版日期:
2016-10-10

文章信息/Info

Title:
 A Cooperative MAC Based on Joint Optimization of Power Allocation and Relay Selection
文章编号:
1673-629X（2016)10-0006-05
作者:
 喻超[1]; 芮雄丽[2]; 曹雪虹[2]
 1.南京邮电大学 通信与信息工程学院；2.南京工程学院 通信工程学院
Author(s):
 YU Chao[1]; RUI Xiong-li[2]; CAO Xue-hong[2]
关键词:
 ; 协作通信; MAC协议; 功率分配; 中继选择; 生命周期
Keywords:
 ; cooperative communication; MAC protocol; power allocation; relay selection; lifetime
分类号:
TP31
文献标志码:
A
摘要:
 针对传统中继选择算法中信道条件利用不足及等功率分配资源利用率低等问题，在解码转发协作无线传感器网络中，提出基于信道状态的中继选择与功率分配算法，以达到最小化系统发射功率的目标。在最大发射功率、平均误比特率及最大信道信噪比限制下，对候选中继节点进行最优功率分配，并根据传输距离和对应的能量消耗完成中继选择。以生命周期为主要性能指标对OcoopMAC( Optimal wireless sensor network cooperative MAC)和现有的MAC协议进行仿真和比较，给出了联合优化下的协作MAC协议流程，有效提高了系统的资源分配。仿真结果表明，该功率分配方案和中继选择策略在提高系统网络生命周期方面比现有算法有显著提高。
Abstract:
 As the under-utilization channel condition and low power allocation resource utilization of traditional relay selection algorithm, a relay selection and power allocation algorithm based on the channel state information is proposed to minimize the transmission power for Decode-and-Forward ( DF) cooperative wireless sensor networks. Power is optimally allocated to source and relay nodes with the objec-tive of minimizing the total transmission power under the limit of maximum transmitted power,the average bit error rate and maximum channel Signal-to-Noise Ratio (SNR),and relay is selected according to the transmission distance and the corresponding energy con-sumption. The simulation and comparison between OcoopMAC ( Optimal wireless sensor network cooperative MAC) and existing MAC protocol are made by using the lifetime as the key performance indicators. Results verify that OcoopMAC significantly improves network performance.

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更新日期/Last Update: 2016-11-25