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基于传输时间的LoRa网络参数分配与功率控制算法
宋雨昕,杨茂恒,贾奇铭,章辉
0
(南开大学 电子信息与光学工程学院 天津市光电传感器与传感网络技术重点实验室,天津 300350)
摘要:
远距离无线电(Long Range Radio,LoRa)网络具有连接数量多、传输距离远、功耗低的特点,然而海量LoRa终端的接入将使得LoRa网络的数据包碰撞率激增,制约网络传输性能。为优化LoRa网络参数分配和功率控制,以A类终端设备建立了LoRa网络冲突率的计算公式,提出了一种基于传输时间的LoRa网络参数分配与功率控制算法,其目标是最小化网络数据包传输平均冲突率时最小化网络能耗,通过优化网络整体节点的参数和发送功率来实现。仿真结果表明,与传统的AAPA等参数分配算法相比,基于传输时间的LoRa网络参数分配与功率控制算法能显著降低冲突率24.8%以上,降低网络能耗30.7%以上。
关键词:  物联网  LoRa网络  网络参数分配  功率控制
DOI:10.20079/j.issn.1001-893x.230728001
基金项目:国家自然科学基金资助项目(61871239,61671254)
A Parameter Allocation and Power Control Algorithm Based on Transmission Time for LoRa Networks
SONG Yuxin,YANG Maoheng,JIA Qiming,ZHANG Hui
(Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology,School of Electronic Information and Optical Engineering,Nankai University,Tianjing 300350,China)
Abstract:
The Long Range Radio(LoRa) network has the characteristics of a large number of connections,a long transmission distance,and low power consumption.However,the access of a large number of LoRa terminals will cause a sharp increase in the data packet collision rate of the LoRa networks,restricting network transmission performance.To optimize the allocation of LoRa network parameters and power control for Class A terminal devices,a calculation formula for the LoRa network collision rate is developed.A LoRa network parameter allocation and power control algorithm based on transmission time is proposed,which aims to minimize network energy consumption when the average collision rate of network packet transmission is minimized by optimizing the parameters and transmission power of the overall nodes of the network.The simulation results show that compared with the traditional AAPA and other parameter allocation algorithms,the LoRa network parameter allocation and power control algorithm based on transmission time can significantly reduce the collision rate by more than 24.8% and reduce the network energy consumption by more than 30.7%.
Key words:  Internet of Things  LoRa network  network parameter assignment  power control