LTM-LoRaWAN: A Multi-Hop Communication System for LoRaWAN

Al mojamed, Mohammad

doi:10.3390/electronics12204225

Cited by 2 publications

(2 citation statements)

References 24 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This offers a trade-off between sensitivity and data rate, depending on the configured parameters. LoRa uses a variation of direct sequence spread spectrum (DSSS) [41]. One of the downsides of a DSSS system is the fact that it requires a highly accurate reference clock.…”

Section: Lora 868 Mhz-based Wireless Communicationmentioning

confidence: 99%

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Artetxe,

Barambones,

Martín Toral

et al. 2024

Electronics

View full text Add to dashboard Cite

Natural resources must be administered efficiently to reduce the human footprint and ensure the sustainability of the planet. Water is one of the most essential resources in agriculture. Modern information technologies are being introduced in agriculture to improve the performance of agricultural processes while optimizing water usage. In this scenario, artificial intelligence techniques may become a very powerful tool to improve efficiency. The introduction of the edge/fog/cloud paradigms, already adopted in other domains, may help to organize the services involved in complex agricultural applications. This article proposes the combination of several modern technologies to improve the management of hydrological resources and reduce water waste. The selected technologies are (1) fuzzy logic, used for control tasks since it adapts very well to the nonlinear nature of the agricultural processes, and (2) long range (LoRa) technology, suitable for establishing large distance links among the field devices (sensors and actuators) and the process controllers, executed in a centralized way. The presented approach has been validated in the laboratory by means of a control scheme aimed at achieving an adequate moisture level in the soil. The control algorithm, based on fuzzy logic, can use the weather forecast, obtained as a cloud service, to reduce water consumption. For testing purposes, the dynamics of the water balance model of the soil were implemented as hardware in the loop, executed in a dSPACE DS1104. Experiments proved the viability of the presented approach since the continuous space state output controller achieved a water loss reduction of 23.1% over a 4-day experiment length compared to a traditional on/off controller. The introduction of cloud services for weather forecasting improved the water reduction by achieving an additional reduction of 4.07% in water usage.

show abstract

Section: Lora 868 Mhz-based Wireless Communicationmentioning

confidence: 99%

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Artetxe,

Barambones,

Martín Toral

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…LPWA services currently available include NB-IoT (Narrowband IoT), LoRa WAN provided by the LoRa alliance, and LTE-M (Long Term Evolution for Machines). The following table shows the LPWA technologies of NB-IoT, LTE-M, and LoRa WAN [12][13][14][15][16][17][18]. NB-IoT uses licensed bands, and although the transmission speed is relatively slow, it has good coverage and power consumption.…”

Section: Lpwamentioning

confidence: 99%

Development of Self-generated and LPWA-based Crop Growth Environment Monitoring and Bigdata Analysis System

2023

Preprint

View full text Add to dashboard Cite

Smart farm is a technology that greatly helps improve the productivity and quality of crops and is being actively introduced into indoor environments such as green houses. However, it has not yet been distributed to field-grown crops. The main reason is that, unlike indoor environments, it is very difficult to collect sensor data for monitoring the growth environment of crops in open fields where weather conditions change significantly and power supply is difficult. Additionally, because various sensors are used, the data formats of the devices are different, making it difficult to process. This paper presents a field crop growth environment monitoring and big data analysis system. The proposed system first solves power supply and data communication problems using solar power generation and LPWA technology. Additionally, based on the oneM2M architecture, data from various sensors is transmitted to the server using standardized technology. The transmitted data is stored and managed on the server as big data, and can be used to predict the production and quality of field-grown crops and take appropriate measures. The proposed system is expected to create an environment optimized for the growth of field crops and help prevent and manage diseases.

show abstract

LTM-LoRaWAN: A Multi-Hop Communication System for LoRaWAN

Cited by 2 publications

References 24 publications

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Development of Self-generated and LPWA-based Crop Growth Environment Monitoring and Bigdata Analysis System

Contact Info

Product

Resources

About