Signal Quality Measurement (SQM) dataset

Citation Author(s):
IIT (BHU) Varanasi
Hari Prabhat
IIT (BHU) Varanasi
IIT (BHU) Varanasi
Submitted by:
Ramakant Kumar
Last updated:
Sun, 05/14/2023 - 02:11
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To illustrate the impact of the obstacles, we consider indoor and outdoor scenarios. We consider the Department of Computer Science and Engineering, IIT(BHU) buildings as indoor buildings and the railway platform as an outdoor scenario. Here, we use single-channel LG in our experiment. The distance between LNs and LG varies from 5 to 50 meters. The floor map illustrates the walls, doors, and windows between LNs and LG. We consider railway stations for the outdoor environment. The outdoor environment did not consist of obstacles between LNs and LG. The number of LNs varies from 5 to 100 meters, and the number of LNs 1 to 5. Figure 1 illustrates the example scenario of an end-to-end LoRa Network with an inference problem.


The dataset consisted time stamp when the message was received at LG, the SNR of each message with a different label of interference, and the RSSI values of the received message. we illustrate the SNR and RSSI with interference for the different numbers of LNs, placement, and SFs. The dataset consists of two payloads, text messages and sensory data. The size of the payload is 10 and 60 bytes.