Wireless link Analysis of LoRa in vegetation and Semi urban scenarios

Tiwari, Kaushal K.; Yerra, Raja Vara Prasad

doi:10.1109/icps55917.2022.00022

Cited by 1 publication

(2 citation statements)

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“…The results of these papers show that Cost-231 and Okumura-Hata are the most fitted models for city scenarios. In addition, other propagation models for lowpopulation scenarios have been included in ns-3, which were compared and summarized in [33]. This paper showed that Nagakami is one of the most realistic ones.…”

Section: Simulations and Models For Lora Environmentsmentioning

confidence: 99%

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Firmware Updates over the Air via LoRa: Unicast and Broadcast Combination for Boosting Update Speed

Malumbres,

Saldana,

Berné

et al. 2024

Sensors

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The capacity to update firmware is a vital component in the lifecycle of Internet of Things (IoT) devices, even those with restricted hardware resources. This paper explores the best way to wirelessly (Over The Air, OTA) update low-end IoT nodes with difficult access, combining the use of unicast and broadcast communications. The devices under consideration correspond to a recent industrial IoT project that focuses on the installation of intelligent lighting systems within ATEX (potentially explosive atmospheres) zones, connected via LoRa to a gateway. As energy consumption is not limited in this use case, the main figure of merit is the total time required for updating a project. Therefore, the objective is to deliver all the fragments of the firmware to each and all the nodes in a safe way, in the least amount of time. Three different methods, combining unicast and broadcast transmissions in different ways, are explored analytically, with the aim of obtaining the expected update time. The methods are also tested via extensive simulations, modifying different parameters such as the size of the scenario, the number of bytes of each firmware chunk, the number of nodes, and the number of initial broadcast rounds. The simulations show that the update time of a project can be significant, considering the limitations posed by regulations, in terms of the percentage of airtime consumption. However, significant time reductions can be achieved by using the proper method: in some cases, when the number of nodes is high, the update time can be reduced by two orders of magnitude if the correct method is chosen. Moreover, one of the proposed methods is implemented using actual hardware. This real implementation is used to perform firmware update experiments in a lab environment. Overall, the article illustrates the advantage of broadcast approaches in this kind of technology, in which the transmission rate is constant despite the distance between the gateway and the node. However, the advantage of these broadcast methods with respect to the unicast one could be mitigated if the nodes do not run exactly the same firmware version, since the control of the broadcast update would be more difficult and the total update time would increase.

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Section: Simulations and Models For Lora Environmentsmentioning

confidence: 99%

“…The total time required for updating the whole project corresponds to the timestamp of the last frame. The setup uses the LoRa Phy layer developed in [28], with the Nagakami loss model [33], which matches the scenarios of interest. The Spreading Factor (SF) is fixed to 7, and the bandwidth of the LoRa channel is always 125 kHz.…”

Section: Simulation Environmentmentioning

confidence: 99%