Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks

Muthanna, Mohammed Saleh Ali; Muthanna, Ammar; Rafiq, Ahsan; Hammoudeh, Mohammad; Alkanhel, Reem; Lynch, Stephen; El‐Latif, Ahmed A. Abd

doi:10.1016/j.comcom.2021.11.010

Cited by 52 publications

(13 citation statements)

References 46 publications

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“…1 is Communication between LoRa End Node LoRa Gateway [7], MQTT Server, and an IoT-based LoRa [8][9][10] [11][12][13] [14]. The device in question is the End node or Easy LoRa Node, which then communicates with the LoRa Gateway using a specific LoRa Radio Frequency (RF) module [15][16] [17][18][19], e.g., 915 MHz or 920 MHz which the author has tested. While the Gateway used is the Dragino LG01-P Gateway.…”

Section: Methods 21 Lora Architecture Concept and Methodsmentioning

confidence: 99%

LoRaWAN Technology in Irrigation Channels in Batu Indonesia

Adi

Kitagawa

Prasetya

et al. 2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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Currently, agricultural technology or Farming development is increasingly sophisticated by applying LoRaWAN-based IoT technology, ignoring quality agricultural products. LoRaWAN used in this research uses Long-Range Frequency 915 MHz and 920 MHz. The case study in this research is a case of river water quality that enters agricultural land or irrigation in Temas, Batu City, where the river water has been contaminated by household waste. The prototype installed on this farm uses an Arduino and Dragino LoRa 915 MHz microcontroller as transceivers and input and output devices consisting of ultrasonic sensors and water pH sensors, and outputs such as Solenoid valves mounted on tub one and tub 2. In contrast, tub 3 is a unique tub for distributing water to agricultural land with normal water pH quality. In this research, realtime monitoring, especially on the conditions of water turbidity, water pH, and water level.

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Section: Methods 21 Lora Architecture Concept and Methodsmentioning

confidence: 99%

LoRaWAN Technology in Irrigation Channels in Batu Indonesia

Adi

Kitagawa

Prasetya

et al. 2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

View full text Add to dashboard Cite

show abstract

“…The key parameter settings of the node are shown in Table 3. When setting the parameters of radio device, on the basis of meeting the radio management specifications, we optimized the LoRa modulation and demodulation technology through designing the key parameters, such as modulation spread factor, modulation bandwidth, and error correction coding rate, to make the system reach an optimal state, as far as possible [30,31]. The spread spectrum LoRa modulation is performed by representing each bit of the payload information using multiple chips of information.…”

Section: Channel Characteristics and Gateway Capacity Analysismentioning

confidence: 99%

An Application of a LPWAN for Upgrading Proximal Soil Sensing Systems

Tang

2022

Sensors

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In recent years, the Internet of Things (IoT), based on low-power wide-area network (LPWAN) wireless communication technology, has developed rapidly. On the one hand, the IoT makes it possible to conduct low-cost, low-power, wide-coverage, and real-time soil monitoring in fields. On the other hand, many proximal soil sensor devices designed based on conventional communication methods that are stored in an inventory face elimination. Considering the idea of saving resources and costs, this paper applied LPWAN technology to an inventoried proximal soil sensor device, by designing an attachment hardware system (AHS) and realizing technical upgrades. The results of the experimental tests proved that the sensor device, after upgrading, could work for several years with only a battery power supply, and the effective wireless communication coverage was nearly 1 km in a typical suburban farming environment. Therefore, the new device not only retained the original mature sensing technology of the sensor device, but also exhibited ultralow power consumption and long-distance transmission, which are advantages of the LPWAN; gave full play to the application value and economic value of the devices stored in inventory; and saved resources and costs. The proposed approach also provides a reference for applying LPWAN technology to a wider range of inventoried sensor devices for technical upgrading.

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“…Department of Computer Systems, Faculty of Computer Science, Sriwijaya University. The Sugeno fuzzy method has been implemented in the aquaponics system with crisp, fuzzy input in turbidity and water Ph [24,25,45,52] parameters. The measurement of the value of the water turbidity parameter uses the A/D Turbidity Sensor, and the measurement of the pH parameter value of the water is measured using the Analog pH Sensor v.1.1.…”

Section: Related Workmentioning

confidence: 99%

Automatic Wastewater Control System for Soil Fertility use Fuzzy Logic and IoT-Based

Tiga

2021

IOTA

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The process of controlling the flow of waste in irrigation canals is one form of effort to support the sustainability of plant growth on garden beds. Farmers use many strategies or efforts to maintain fertility and plant growth to obtain more increased and productive yields. Based on research, clean water from rivers in irrigation canals that pass through residential areas to produce wastewater before it reaches plants. Moreover, a process, less healthy for plant growth than clean water irrigation channels with normal pH (Potential Hydrogen) required by plants. Setting pH and soil moisture according to plant needs, i.e., 6.5-7 for water pH and 50%-70% for soil moisture. This value is the best step in plant growth care; an irrigation canal is made that can measure water pH using sensor pH and soil moisture by using a soil moisture sensor and can normalize water pH and soil moisture according to plant needs. The pH down pump automatically pours acidic pH when the pH reading is alkaline and vice versa; the up pump automatically pours acid when the pH reading is acidic. To measure the water level in the reservoir, use an ultrasonic sensor to not seep out of the reservoir because it is full. This tool is equipped with a pump to channel water from the wastewater reservoir to the water pH measurement reservoir and proceed to the plants, where fuzzy logic works to regulate the speed of the plant watering pump with input obtained from soil moisture sensor readings and temperature sensors. Finally, control using the Esp32 MCU Node by being monitored using the Blynk application displayed on the android.

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Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks

Cited by 52 publications

References 46 publications

LoRaWAN Technology in Irrigation Channels in Batu Indonesia

LoRaWAN Technology in Irrigation Channels in Batu Indonesia

An Application of a LPWAN for Upgrading Proximal Soil Sensing Systems

Automatic Wastewater Control System for Soil Fertility use Fuzzy Logic and IoT-Based

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