| 面向煤矿工作面的定位无线传感器网络传输性能优化 |
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| 引用本文： | 方祖浩,赵小虎,王海波,王晶晶. 面向煤矿工作面的定位无线传感器网络传输性能优化[J]. 工矿自动化, 2020, 46(3): 43-48 |
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| 作者姓名： | 方祖浩 赵小虎 王海波 王晶晶 |
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| 作者单位： | 矿山物联网应用技术国家地方联合工程实验室,江苏 徐州 221008;中国矿业大学 信息与控制工程学院,江苏 徐州 221008;中煤科工集团常州研究院有限公司,江苏 常州 213015;天地(常州)自动化股份有限公司,江苏 常州 213015;潞安集团 余吾煤业有限责任公司,山西 长治,046100 |
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| 基金项目： | 国家重点研发计划资助项目(2017YFC0804404)。 |
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| 摘 要： | 针对煤矿工作面定位无线传感器网络(PWSN)端到端时间较长、丢包率较大等问题,提出采用保障贪婪调度(GGS)算法来优化网络传输性能。GGS算法结合了粒子群优化(PSO)算法和贪婪算法,使用PSO算法对信道中的报文种群进行有序化处理,实现对种群的保障;使用贪婪算法对网络传输过程中的具体服务请求形成一种多层次、反复迭代的处理机制,以优化报文种群质量;利用PSO变异算法对种群进行检查和更新,以确保得到的是最优解。仿真结果表明,与现有文化基因算法(MA)、差分进化人工蜂群(DE-ABC)算法相比,GGS算法可在控制丢包率的前提下缩短传输时间,提升网络整体性能。
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| 关 键 词： | 煤矿工作面 定位无线传感器网络 传输调度算法 保障贪婪调度算法 端到端时间 丢包率 |
Optimization of PWSN transmission performance on coal mining face |
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| FANG Zuhao,ZHAO Xiaohu,WANG Haibo,WANG Jingjing. Optimization of PWSN transmission performance on coal mining face[J]. Industry and Automation, 2020, 46(3): 43-48 |
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| Authors: | FANG Zuhao ZHAO Xiaohu WANG Haibo WANG Jingjing |
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| Affiliation: | (The National and Local Joint Engineering Laboratory of Internet Application Technology on Mine,Xuzhou 221008,China;School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221008,China;CCTEG Changzhou Research Institute,Changzhou 213015,China;Tiandi(Changzhou)Automation Co.,Ltd.,Changzhou 213015,China;Yuwu Coal Industry Co.,Ltd.,Lu'an Group,Changzhi 046100,China) |
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| Abstract: | In view of problems of long end-to-end time and high packet loss rate of positioning wireless sensor network(PWSN)on coal mining face,aguaranteed greedy scheduling(GGS)algorithm was proposed to optimize network transmission performance.The GGS algorithm combines the particle swarm optimization(PSO)algorithm and the greedy algorithm.The PSO algorithm is used to orderly process the message population in the channel to ensure the population.The greedy algorithm is used to form a multilevel,iterative processing mechanism for specific service requests during network transmission,so as to optimize the quality of the message population.The PSO mutation algorithm is used to check and update the population to ensure that the optimal solution is obtained.The simulation results show that compared with the existing MA and DE-ABC algorithms,the GGS algorithm can shorten the transmission time and improve the overall network performance while controlling the packet loss rate. |
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| Keywords: | coal mining face positioning wireless sensor network transmission scheduling algorithm guaranteed greedy scheduling algorithm end-to-end time packet loss rate |
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