本研究旨在探索LoRa广域网(LoRa Wide Area Network,LoRaWAN)技术在远程监控系统中的应用,设计并实现了一种基于该技术的远程监控系统。通过充分利用LoRa技术的长距离传输和低功耗特性,成功构建了一个稳定可靠的监控系统。系统架构包括...本研究旨在探索LoRa广域网(LoRa Wide Area Network,LoRaWAN)技术在远程监控系统中的应用,设计并实现了一种基于该技术的远程监控系统。通过充分利用LoRa技术的长距离传输和低功耗特性,成功构建了一个稳定可靠的监控系统。系统架构包括网络/应用服务器、LoRaWAN网关以及LoRaWAN节点。节点负责环境数据的采集,并通过LoRaWAN协议传输到网关,网关再将数据转发至服务器进行处理和分析。通过在实际环境中的验证,证明了该系统的有效性和可行性,为远程监控领域的应用提供了新的解决方案。展开更多
Long Range Wide Area Network(LoRaWAN)has been developed to meet the requirements for the enormous device-to-device communication of Inter-net of Things(IoT)networks,which consist of a large number of participating dev...Long Range Wide Area Network(LoRaWAN)has been developed to meet the requirements for the enormous device-to-device communication of Inter-net of Things(IoT)networks,which consist of a large number of participating devices spread over large coverage areas with low data rates and low power con-sumption.It supports communications in both directions,uplink,and downlink directions.However,the downlink communication in the current LoRaWAN raises the bottleneck issue at gateways due to the used gateway selection algo-rithm.This paper proposes a novel gateway selection algorithm based on the duty cycle time-off values for the existing gateways,Duty Cycle Gateway Selection(DCGS),to direct acknowledgment packets as downlink traffic towards the most suitable gateway.Thus,the proposed system avoids subsequent retransmission of previously sent traffic that leads to excessive traffic overloading the network.The proposed system avoids exhausting a gateway duty cycle with downlink traffic by distributing the downlink traffic among available gateways based on the duty cycle time off.DCGS is evaluated using FloRa and INET frameworks in the well-known network simulator OMNeT++.The result shows the superior perfor-mance of the proposed approach over the existing Signal-to-Noise ratio(SNR)based selection mechanism.It clearly indicates that the DCGS maintains a better confirmed packet delivery rate while reducing number of retransmissions,colli-sions,and power consumption.展开更多
Long Range Wide Area Network (LoRaWAN) in the Internet ofThings (IoT) domain has been the subject of interest for researchers. Thereis an increasing demand to localize these IoT devices using LoRaWAN dueto the quickly...Long Range Wide Area Network (LoRaWAN) in the Internet ofThings (IoT) domain has been the subject of interest for researchers. Thereis an increasing demand to localize these IoT devices using LoRaWAN dueto the quickly growing number of IoT devices. LoRaWAN is well suited tosupport localization applications in IoTs due to its low power consumptionand long range. Multiple approaches have been proposed to solve the localizationproblem using LoRaWAN. The Expected Signal Power (ESP) basedtrilateration algorithm has the significant potential for localization becauseESP can identify the signal’s energy below the noise floor with no additionalhardware requirements and ease of implementation. This research articleoffers the technical evaluation of the trilateration technique, its efficiency,and its limitations for the localization using LoRa ESP in a large outdoorpopulated campus environment. Additionally, experimental evaluations areconducted to determine the effects of frequency hopping, outlier removal, andincreasing the number of gateways on localization accuracy. Results obtainedfrom the experiment show the importance of calculating the path loss exponentfor every frequency to circumvent the high localization error because ofthe frequency hopping, thus improving the localization performance withoutthe need of using only a single frequency.展开更多
低功耗广域网LoRaWAN(Long Range Wide Area Network)能兼顾低功耗与远通信距离,已经应用于很多领域。分析了LoRaWAN协议中A类节点发送数据的过程,据此建立了包含各个状态转移概率的马尔科夫模型。然后,基于SX1278芯片的相关参数对协议...低功耗广域网LoRaWAN(Long Range Wide Area Network)能兼顾低功耗与远通信距离,已经应用于很多领域。分析了LoRaWAN协议中A类节点发送数据的过程,据此建立了包含各个状态转移概率的马尔科夫模型。然后,基于SX1278芯片的相关参数对协议模型进行了仿真,并分析了LoRaWAN网络中网关回复时机、节点数量、频段数、链路质量等因素对A类节点发送数据的延时和能耗的影响。仿真结果表明,在单网关且总信道数不变的情况下,减少频段数,延后网关确认回复可以缩短节点发送数据的延时,降低节点发送数据的能耗。这对提升LoRaWAN网络性能具有很强的参考性。展开更多
文摘本研究旨在探索LoRa广域网(LoRa Wide Area Network,LoRaWAN)技术在远程监控系统中的应用,设计并实现了一种基于该技术的远程监控系统。通过充分利用LoRa技术的长距离传输和低功耗特性,成功构建了一个稳定可靠的监控系统。系统架构包括网络/应用服务器、LoRaWAN网关以及LoRaWAN节点。节点负责环境数据的采集,并通过LoRaWAN协议传输到网关,网关再将数据转发至服务器进行处理和分析。通过在实际环境中的验证,证明了该系统的有效性和可行性,为远程监控领域的应用提供了新的解决方案。
基金supporting this work by Grant Code:(22UQU4331076DSR01).
文摘Long Range Wide Area Network(LoRaWAN)has been developed to meet the requirements for the enormous device-to-device communication of Inter-net of Things(IoT)networks,which consist of a large number of participating devices spread over large coverage areas with low data rates and low power con-sumption.It supports communications in both directions,uplink,and downlink directions.However,the downlink communication in the current LoRaWAN raises the bottleneck issue at gateways due to the used gateway selection algo-rithm.This paper proposes a novel gateway selection algorithm based on the duty cycle time-off values for the existing gateways,Duty Cycle Gateway Selection(DCGS),to direct acknowledgment packets as downlink traffic towards the most suitable gateway.Thus,the proposed system avoids subsequent retransmission of previously sent traffic that leads to excessive traffic overloading the network.The proposed system avoids exhausting a gateway duty cycle with downlink traffic by distributing the downlink traffic among available gateways based on the duty cycle time off.DCGS is evaluated using FloRa and INET frameworks in the well-known network simulator OMNeT++.The result shows the superior perfor-mance of the proposed approach over the existing Signal-to-Noise ratio(SNR)based selection mechanism.It clearly indicates that the DCGS maintains a better confirmed packet delivery rate while reducing number of retransmissions,colli-sions,and power consumption.
基金the ADEK Award for Research Excellence (AARE19-245)2019.
文摘Long Range Wide Area Network (LoRaWAN) in the Internet ofThings (IoT) domain has been the subject of interest for researchers. Thereis an increasing demand to localize these IoT devices using LoRaWAN dueto the quickly growing number of IoT devices. LoRaWAN is well suited tosupport localization applications in IoTs due to its low power consumptionand long range. Multiple approaches have been proposed to solve the localizationproblem using LoRaWAN. The Expected Signal Power (ESP) basedtrilateration algorithm has the significant potential for localization becauseESP can identify the signal’s energy below the noise floor with no additionalhardware requirements and ease of implementation. This research articleoffers the technical evaluation of the trilateration technique, its efficiency,and its limitations for the localization using LoRa ESP in a large outdoorpopulated campus environment. Additionally, experimental evaluations areconducted to determine the effects of frequency hopping, outlier removal, andincreasing the number of gateways on localization accuracy. Results obtainedfrom the experiment show the importance of calculating the path loss exponentfor every frequency to circumvent the high localization error because ofthe frequency hopping, thus improving the localization performance withoutthe need of using only a single frequency.
文摘低功耗广域网LoRaWAN(Long Range Wide Area Network)能兼顾低功耗与远通信距离,已经应用于很多领域。分析了LoRaWAN协议中A类节点发送数据的过程,据此建立了包含各个状态转移概率的马尔科夫模型。然后,基于SX1278芯片的相关参数对协议模型进行了仿真,并分析了LoRaWAN网络中网关回复时机、节点数量、频段数、链路质量等因素对A类节点发送数据的延时和能耗的影响。仿真结果表明,在单网关且总信道数不变的情况下,减少频段数,延后网关确认回复可以缩短节点发送数据的延时,降低节点发送数据的能耗。这对提升LoRaWAN网络性能具有很强的参考性。
