LoRaWAN Network Capacity for Practical Network Planning in India

Dalela, Pankaj Kumar; Sachdev, Smriti; Tyagi, Vipin

doi:10.23919/ursiap-rasc.2019.8738342

Cited by 8 publications

(4 citation statements)

References 2 publications

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“…The user must edit them directly by changing the MATLAB code. There are several studies implemented using PhySimulator, such as field tests and capacity simulations of LoRaWAN in a seaport area conducted in [87], An effective algorithm for vehicular ad hoc network load balancing in [88], smart cities [89], realistic network planning [90], and the latest update by Hussein M., who called it LoRa+ [56].…”

Section: Physimulatormentioning

confidence: 99%

A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

et al. 2022

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Low-power wide-area network (LPWAN) technologies play a pivotal role in IoT applications, owing to their capability to meet the key IoT requirements (e.g., long range, low cost, small data volumes, massive device number, and low energy consumption). Between all obtainable LPWAN technologies, long-range wide-area network (LoRaWAN) technology has attracted much interest from both industry and academia due to networking autonomous architecture and an open standard specification. This paper presents a comparative review of five selected driving LPWAN technologies, including NB-IoT, SigFox, Telensa, Ingenu (RPMA), and LoRa/LoRaWAN. The comparison shows that LoRa/LoRaWAN and SigFox surpass other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. In contrast, NB-IoT technology excels in latency and quality of service. Furthermore, we present a technical overview of LoRa/LoRaWAN technology by considering its main features, opportunities, and open issues. We also compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network performance that has been developed recently. Then, we introduce a comparative evaluation of LoRa simulators to highlight their features. Furthermore, we classify the recent efforts to improve LoRa/LoRaWAN performance in terms of energy consumption, pure data extraction rate, network scalability, network coverage, quality of service, and security. Finally, although we focus more on LoRa/LoRaWAN issues and solutions, we introduce guidance and directions for future research on LPWAN technologies.

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Section: Physimulatormentioning

confidence: 99%

A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

et al. 2022

View full text Add to dashboard Cite

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“…Unable to alter all these factors via a graphical interface, the user must edit them directly by changing the MATLAB code. Field test and Capacity simulation of LoRaWAN in a seaport area conducted in [41], An Effective Algorithm for Vehicular Ad-Hoc Network Load Balancing in [42], smart city [43], Realistic Network Planning [44], latest update by H.Mroue called it LoRa+ [45].…”

Section: Physimulatormentioning

confidence: 99%

An Overview on LoRaWAN Technology Simulation Tools

Almuhaya

Jabbar

Sulaiman

et al. 2022

Advances on Intelligent Informatics and Computing

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Low-Power Wide Area Networks (LPWAN) technologies are playing a pivotal role in the IoT applications owing to their capability to meet the keys IoT requirements, i.e., long-range, low cost, small data volumes, massive devices number, and low energy consumption. The creation of new public and private LoRaWAN networks necessitates the use of avoiding node limits and collision prevention measures. Designers of IoT systems confront difficulty in determining the scalability of a given technology, with an emphasis on unlicensed frequency bandwidth (ISM) transmission in densely populated locations. However, picking the best simulation software might be a challenge. To provide a conceptual overview of seven LoRaWAN simulation tools, this paper outlines their key characteristics and the sorts of experiments they support. LoRaWAN simulators, resource utilization, and performance evaluation are all covered in-depth in this report. Furthermore, we classify and compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network emulators that have been developed recently. This article will be used to help other researchers decide whether LoRaWAN simulation tool is best for their specific requirements.

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“…To do so, the gateways possess an SX1301 chip [2] which contains eight demodulator chips. Several works have shown that the limited number of demodulators within a gateway limits the performance of the whole network [3], [4], [5]. In [6], we proposed two algorithms that aim to optimize the usage of demodulators in a single gateway environment.…”

Section: Introductionmentioning

confidence: 99%

Multi-Gateway Demodulation in LoRa

Guitton¹,

Kaneko

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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LoRa is one of the most prominent low power wide area network technologies, and enables to interconnect thousands of devices distributed over areas of several square kilometers. However, the limited number of demodulators present in the hardware of LoRa gateways limits LoRa scalability. In this paper, we argue that scalability can be improved by having gateways collaborate, so that they attempt to demodulate different frames. We propose several algorithms in order to measure the benefits of random-based collaboration and deterministic collaboration. Our simulation results show that random-based protocols improve the baseline performance in most setups, while deterministic protocols improve the network performance when the number of gateways is large, and with many demodulators per gateway.

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LoRaWAN Network Capacity for Practical Network Planning in India

Cited by 8 publications

References 2 publications

A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

An Overview on LoRaWAN Technology Simulation Tools

Multi-Gateway Demodulation in LoRa

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