| 短包传输下缓冲区辅助的无线传感器状态更新系统的信息新鲜度研究 |
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| 引用本文： | 魏哲敏,贾向东,赵玉华,陈智.短包传输下缓冲区辅助的无线传感器状态更新系统的信息新鲜度研究[J].信号处理,2022,38(8):1711-1718. |
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| 作者姓名： | 魏哲敏 贾向东 赵玉华 陈智 |
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| 作者单位： | 1.西北师范大学计算机科学与工程学院, 甘肃 兰州 730070 |
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| 基金项目： | 国家自然科学基金61861039 |
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| 摘 要： | 考虑到信息新鲜度对无线传感器状态更新系统设计和部署带来的影响，提出一个由两个传感器源节点和一个公共目的节点组成的状态更新系统。该系统中两个传感器源节点均配备一个单位大小的缓冲区，并根据伯努利过程在每个时隙感知对应物理过程的状态更新。随后传感器以有限块长度短包的形式将状态更新发送至目的节点。该文采用信息年龄（Age of Information， AoI）描述状态更新的新鲜度。首先，以传感器缓冲区状态组合为中心，该系统可建模为连续时间有限状态的马尔可夫过程，其中有限状态表示缓冲区的不同状态，连续时间表示与年龄相关过程的演进。因此，该系统平均AoI可采用随机混合系统（Stochastic Hybrid System， SHS）评估。最后仿真结果表明，当更新包的感知概率为0.2时，信噪比从0 dB增加至3 dB将导致平均AoI降低20.6%；当信噪比固定为4 dB时，状态更新包块长度从300 channel uses增长至400 channel uses会致使平均AoI降低8.8%。该研究可为缓冲区辅助的状态更新系统设计提供基本理论依据。
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| 关 键 词： | ??传感器网络 信息年龄 缓冲区 短包通信 随机混合系统 |
| 收稿时间： | 2021-12-20 |
Research on Information Freshness of Buffer-aided Wireless Sensor Status Update System with Short Packet Transmission |
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| Affiliation: | 1.College of Computer Science and Engineering，Northwest Normal University，Lanzhou，Gansu 730070，China2.Wireless Communication Key Lab of Jiangsu Province，Nanjing University of Posts and Telecommunications，Nanjing，Jiangsu 210003，China |
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| Abstract: | ? ?Based on the consideration that the information freshness has a great impact on the design and deployment of the wireless sensor status update system， the paper considers a status update system made up of two sensors and a common destination node. The two sensors， equipped with one unit buffer respectively， are capable to sense the update of corresponding physical process according to the Bernoulli process in every slot. Subsequently the sensors will deliver the updates in the form of short blocklength packet. We adopt a recently proposed metric， the age of information （AoI）， to portray the freshness of the updates. Initially， being centered on the combination of each sensor buffer state， the system can be modeled as a continuous-time finite-state Markov process， where finite-state represents the different states of the buffers and continuous-time denotes the evolution of the age-related processes. Secondly， the average AoI could be estimated by the stochastic hybrid system （SHS）. Finally， the simulation results suggest that， when the successful sensing probability of packet is 0.2， the average AoI decreases by 20.6% when there is an increase of SNR from 0 dB to 3 dB.And when the SNR is fixed on 4 dB， the average AoI decreases by 8.8% in the event that the blocklength of update increases from 300 channel uses to the 400 channel uses. The research has laid a foundation and provided theoretical basis for the subsequent design of the buffer-aided status update system. |
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