Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers

da Rocha Santos, Lucélia Cunha; Bruschi, Sarita Mazzini; de Souza, Paulo Sergio Lopes; Ueyama, Jó; de Jesus dos Santos, Alyson; Barbosa, Jezreel Souto

doi:10.1016/j.adhoc.2023.103301

Cited by 5 publications

(4 citation statements)

References 32 publications

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“…Despite the viability of a LoRaWAN infrastructure for vehicular networks being fully proven, a performance degradation occurred for high speeds and high SFs. From this, although it is a niche application scenario, even boats were shown to form vehicular networks enabled by LoRa modulation, as in [ 29 ] for fluvial contexts. Such a study proved the feasibility of LoRa links in these frameworks, where a transmitter was installed onboard a boat sailing on a river and several gateways were placed on the banks of the river.…”

Section: Related Workmentioning

confidence: 99%

“…The relative results showed that an average PL of 22% was experienced. However, apart from the fact that such a measurement campaign was structured in a different way with respect to the one in this paper, the application scenario of [ 29 ] is harsh in itself since wireless links are taking place above a water basin, thus introducing an additional variable hindering the wireless channel, as was also proven in a previous work [ 30 ].…”

Section: Related Workmentioning

confidence: 99%

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LoRaWAN for Vehicular Networking: Field Tests for Vehicle-to-Roadside Communication

Di Renzone,

Parrino,

Peruzzi

et al. 2024

Sensors

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Vehicular wireless networks are one of the most valuable tools for monitoring platforms in the automotive domain. At the same time, Internet of Things (IoT) solutions are playing a crucial role in the same framework, allowing users to connect to vehicles in order to gather data related to their working cycle. Such tasks can be accomplished by resorting to either cellular or non-cellular wireless technologies. While the former can ensure low latency but require high running costs, the latter can be employed in quasi-real-time applications but definitely reduce costs. To this end, this paper proposes the results of two measurement campaigns aimed at assessing the performance of the long-range wide-area network (LoRaWAN) protocol when it is exploited as an enabling technology to provide vehicles with connectivity. Performances are evaluated in terms of packet loss (PL) and received signal strength indicator (RSSI) in wireless links. The two testing scenarios consisted of a transmitter installed on a motorbike running on an elliptical track and a receiver placed in the centre of the track, and a transmitter installed on the roof of a car and a receiver placed next to a straight road. Several speeds were tested, and all the spreading factors (SFs) foreseen by the protocol were examined, showing that the Doppler effect has a marginal influence on the receiving performance of the technology, and that, on the whole, performance is not significantly affected by the speed. Such results prove the feasibility of LoRaWAN links for vehicular network purposes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

LoRaWAN for Vehicular Networking: Field Tests for Vehicle-to-Roadside Communication

Di Renzone,

Parrino,

Peruzzi

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Chirp Spread Spectrum in Fig. 4, or Chirp, is a LoRa and LoRaWAN modulation system that is indicated by a sinusoidal wave at a specific frequency [31]- [35]. The wave density is based on detecting the object or, in this case, the Receiver.…”

Section: Chirp Spread Spectrum Of Lora Analysismentioning

confidence: 99%

Analysis of IoT-LoRa to Improve LoRa Performance for Vaname Shrimp Farming Monitoring System

Adi,

Ardi,

Plamonia

et al. 2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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Shrimp farming requires a touch that must be right on the side of water quality; water is a fundamental factor that must be met to achieve maximum yields. Many factors affect the quality of the water, but some things cause changes in water quality caused by external and internal factors causing death in shrimp. Disease conditions in shrimp can attack at any time, coupled with external factors such as extreme climate change, and cause changes in water components such as water pH, CaMg or hardness, and other factors that cause death in shrimp. Water turbidity oxygen demand (DO) in water determines the life of shrimp. It is coupled with microorganisms that must be maintained to maintain water quality for the growth of a Vaname shrimp. This research raises the Aquaculture System, specifically in the process of intelligent monitoring of water quality in shrimp nurseries to the shrimp harvest process, especially vaname shrimp from the results of observations use three sensors connected to LoRaWAN is able to provide real-time data from pond water and transmit it to LoRa Server or Internet Server, and the realtime data can be read through a Smartphone. This research analyzes in detail the ability of LoRaWAN to send multi-sensor data and Quality of Service LoRaWAN communication at different distances. This research also discusses how the LoRa antenna design can be developed to improve the performance of LoRa as transmitting devices or Radio Frequency 920-923 MHz for sending sensor data for Aquaculture. The contribution of this research is shown in the realtime monitoring system of the water environment, namely water pH, ammonia, turbidity, DO, salinity, water temperature, and nitrate in vaname shrimp ponds. The following contribution is the development of LoRaWAN with Tago IO servers capable of being used in Smart Aquaculture for contributions to The Things Network community or LoRaWAN Community.

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“…The RSUs in this architecture are equipped with advanced communication technologies, potentially including 5G [36] or Lora [37], enabling interaction with vehicular systems. These units are strategically placed along roadways to form a dependable communication infrastructure, essential for the efficient operation of the VANET system.…”

Section: Evaluated Architecturementioning

confidence: 99%

Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration

Silva,

Cardoso,

Brito

et al. 2023

Sensors

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In the rapidly evolving urban advanced mobility (UAM) sphere, Vehicular Ad Hoc Networks (VANETs) are crucial for robust communication and operational efficiency in future urban environments. This paper quantifies VANETs to improve their reliability and availability, essential for integrating UAM into urban infrastructures. It proposes a novel Stochastic Petri Nets (SPN) method for evaluating VANET-based Vehicle Communication and Control (VCC) architectures, crucial given the dynamic demands of UAM. The SPN model, incorporating virtual machine (VM) migration and Edge Computing, addresses VANET integration challenges with Edge Computing. It uses stochastic elements to mirror VANET scenarios, enhancing network robustness and dependability, vital for the operational integrity of UAM. Case studies using this model offer insights into system availability and reliability, guiding VANET optimizations for UAM. The paper also applies a Design of Experiments (DoE) approach for a sensitivity analysis of SPN components, identifying key parameters affecting system availability. This is critical for refining the model for UAM efficiency. This research is significant for monitoring UAM systems in future cities, presenting a cost-effective framework over traditional methods and advancing VANET reliability and availability in urban mobility contexts.

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Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers

Cited by 5 publications

References 32 publications

LoRaWAN for Vehicular Networking: Field Tests for Vehicle-to-Roadside Communication

LoRaWAN for Vehicular Networking: Field Tests for Vehicle-to-Roadside Communication

Analysis of IoT-LoRa to Improve LoRa Performance for Vaname Shrimp Farming Monitoring System

Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration

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