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1.南京邮电大学江苏省邮政大数据技术与应用工程研究中心,江苏南京 210003
2.南京邮电大学国家邮政局邮政行业技术研发中心(物联网技术),江苏南京 210003
3.南京邮电大学宽带无线通信技术教育部工程研究中心,江苏南京 210003
Received:17 January 2020,
Revised:2021-11-12,
Published:25 October 2022
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孟超,周倩,郭林等.基于相关性传输模型的无线链路质量估计方法及路由优化算法[J].电子学报,2022,50(10):2409-2424.
MENG Chao,ZHOU Qian,GUO Lin,et al.Estimation Method of Wireless Link Quality and Routing Optimization Algorithm Based on Correlation Transmission Model[J].ACTA ELECTRONICA SINICA,2022,50(10):2409-2424.
孟超,周倩,郭林等.基于相关性传输模型的无线链路质量估计方法及路由优化算法[J].电子学报,2022,50(10):2409-2424. DOI: 10.12263/DZXB.20200119.
MENG Chao,ZHOU Qian,GUO Lin,et al.Estimation Method of Wireless Link Quality and Routing Optimization Algorithm Based on Correlation Transmission Model[J].ACTA ELECTRONICA SINICA,2022,50(10):2409-2424. DOI: 10.12263/DZXB.20200119.
在无线传感网中,无线链路数据传输不是独立的,而是存在较强的相关性.在链路相关性条件下,无线链路传输质量往往依靠直接测量法获取结果,但是直接测量的结果不够精确,存在较大误差,而路由算法总是依据链路传输质量选择最优的传输路径,因此直接导致路由选择算法的结果错误.本文基于无线链路数据相关性传输提出改进架构,该架构利用贝努利采样理论,确保对无线链路传输质量的精确估计,使得链路质量估计能够达到高精度的要求.在此基础上,本文提出了路由选择优化算法,该算法依据无线链路的传输质量,找出从所有的感知节点到sink的最优数据传输路径,确保无线链路的数据传输所消耗的能量达到最小值.实验结果表明,本文提出的架构在精确度和能量消耗等方面,都要优于已有的优化算法.
In wireless sensor networks(WSNs)
data transmission in wireless link is not independent
but there is a strong correlation. Under the condition of link correlation
the transmission quality of wireless link often depends on the direct measurement method to obtain the results. However
the results of the direct measurement are not accurate enough and there are large errors. In addition
the routing algorithm always selects the optimal transmission path according to the link quality. The imprecise link quality ultimately leads to the wrong results of routing algorithm in the end. In this paper
according to data correlation transmission for wireless link
the improvement scheme is proposed by the authors
which uses Bernoulli sampling theory to estimate link quality in order to meet the requirements of high precision. On this basis
a routing optimization algorithm is proposed
which can find the optimal data transmission paths from all sensing nodes to sink according to quality of wireless link. The optimal transmission path can ensure the minimum energy consumption of data transmission in wireless link. Finally
the extensive experiment results indicate that the proposed algorithms have high performance in terms of the total transmission energy cost and algorithm precision
compared with the existing algorithms.
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