Internet of Things and LoRaWAN-Enabled Future Smart Farming

Citoni, Bruno; Fioranelli, Francesco; Imran, Muhammad Ali; Abbasi, Qammer H.

doi:10.1109/iotm.0001.1900043

Cited by 68 publications

(33 citation statements)

References 13 publications

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“…The authors in [50] considered that cellular technologies contained disadvantages for IoT networks, allowing only a few devices to directly connect to each small-cell base station while providing wide bandwidth. This is the opposite of what is required by IoT devices, where a large number of sensor nodes need only sufficient bandwidth to transmit a few bytes every few minutes.…”

Section: A Concept and Formulation Of An Underlay Iot Network With Hmentioning

confidence: 99%

“…This makes large-scale techniques impossible to be practiced without increasing costs and energy consumption. The authors in [50] proposed LoRa-based private networks for IoT applications. However, the IoT network model in our study plotted a part of the IoT which consisted of a gateway (source S) and two end nodes (devices D 1 and D 2 ).…”

Section: A Concept and Formulation Of An Underlay Iot Network With Hmentioning

confidence: 99%

“…However, the IoT network model in our study plotted a part of the IoT which consisted of a gateway (source S) and two end nodes (devices D 1 and D 2 ). It is important to note the difference to the study [50]. In our study, we adopted the NOMA technique for private IoT networks.…”

Section: A Concept and Formulation Of An Underlay Iot Network With Hmentioning

confidence: 99%

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SWIPT Model Adopting a PS Framework to Aid IoT Networks Inspired by the Emerging Cooperative NOMA Technique

Tran

Fazio

et al. 2021

IEEE Access

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We present the design for an ultra-low latency and low energy Internet of Things (IoT) network inspired by the emerging cooperative Non-Orthogonal Multiple Access (NOMA) wireless communication technique. The IoT network model consists of a source at the center of the network, a near device inside the network, and a far device outside the network. The far device is in the near proximity of the near device, however. We deploy the near device as a relay to assist the far device. The near device is assumed to be a low energy node. As a result, the near device cannot forward signals to the far device through its own power. We therefore design the IoT network to apply the Simultaneous Wireless Information and Power Transfer (SWIPT) technique so that the near device would be able to harvest energy and use it to forward signals. Two cooperative IoT network scenarios are examined: Half-Duplex (HD) and Full-Duplex (FD) relaying, each with and without eavesdroppers. The design also exploits Power Splitting (PS) factors for fairness in Quality of Service (QoS) for the devices. Novel analysis expressions are obtained accuracy and approximation of closed-forms for Outage Probability (OP), secrecy OP, system throughput and Jain's fairness index. The analysis results are proved and verified by Monte Carlo simulation results.

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Section: A Concept and Formulation Of An Underlay Iot Network With Hmentioning

confidence: 99%

Section: A Concept and Formulation Of An Underlay Iot Network With Hmentioning

confidence: 99%

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SWIPT Model Adopting a PS Framework to Aid IoT Networks Inspired by the Emerging Cooperative NOMA Technique

Tran

Fazio

et al. 2021

IEEE Access

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“…They are already deployed in smart agriculture, smart cities, environment monitoring, etc. In [ 1 ], the authors present a review of long-range (LoRa) and (LoRaWAN)-enabled IoT applications for smart agriculture. They analyze the currently available long-range wide-area network technologies that could be the most appropriate for agriculture and agri-tech applications.…”

Section: Related Workmentioning

confidence: 99%

“…The Internet of Things (IoT) is tremendously contributing to the increase of the number of monitoring applications deployed. These applications belong to various fields like smart farming (with smart irrigation, nutrient monitoring and disease detection) [ 1 , 2 ], air pollution monitoring [ 3 , 4 ], smart cities [ 5 ] (with smart parking, smart waste collection and smart lighting), environment control (with leak detection), etc. Such applications require long range transmissions (e.g., from 1 to 12 km), a high number (i.e., ≥ 900) of End Devices (EDs) transmitting short messages (i.e., less than 50 bytes) to a sink in charge of gathering data, not frequently (e.g., from once every 5 mn, up to once every hour or every 6 h).…”

Section: Introductionmentioning

confidence: 99%

Collision-Free Transmissions in an IoT Monitoring Application Based on LoRaWAN

Haiahem¹,

Minet

Boumerdassi

et al. 2020

Sensors

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With the Internet of Things (IoT), the number of monitoring applications deployed is considerably increasing, whatever the field considered: smart city, smart agriculture, environment monitoring, air pollution monitoring, to name a few. The LoRaWAN (Long Range Wide Area Network)architecture with its long range communication, its robustness to interference and its reduced energy consumption is an excellent candidate to support such applications. However, if the number of end devices is high, the reliability of LoRaWAN, measured by the Packet Delivery Ratio (PDR), becomes unacceptable due to an excessive number of collisions. In this paper, we propose two different families of solutions ensuring collision-free transmissions. The first family is TDMA (Time-Division Multiple Access)-based. All clusters transmit in sequence and up to six end devices with different spreading factors belonging to the same cluster are allowed to transmit in parallel. The second family is FDMA (Frequency Divsion Multiple Access)-based. All clusters transmit in parallel, each cluster on its own frequency. Within each cluster, all end devices transmit in sequence. Their performance are compared in terms of PDR, energy consumption by end device and maximum number of end devices supported. Simulation results corroborate the theoretical results and show the high efficiency of the solutions proposed.

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