RM-ADR: Resource Management Adaptive Data Rate for Mobile Application in LoRaWAN

Anwar, Khola; Rahman, Taj; Zeb, Asim; Khan, Inayat; Zareei, Mahdi; Vargas-Rosales, César

doi:10.3390/s21237980

Cited by 19 publications

(10 citation statements)

References 30 publications

(47 reference statements)

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“…To ensure seamless connectivity in mobile scenarios, issues such as Doppler effects during movement [ 42 ], uplink and downlink communications, and adaptive data rate (ADR) technique must be studied. Moreover, the handover of an end-node from the coverage of a gateway to another and end-node localization should be taken into consideration [ 43 , 44 ]. An advanced

selection scheme for mobile end-nodes was presented in [ 45 ];

were assigned to the end-nodes by proactively responding to their mobility in a method that increased the

in comparison with the LoRaWAN-associated ADR.…”

Section: Background and Related Workmentioning

confidence: 99%

Mobility of LoRaWAN Gateways for Efficient Environmental Monitoring in Pristine Sites

Sobhi

Elzanaty

Selim

et al. 2023

Sensors

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Environmental monitoring of delicate ecosystems or pristine sites is critical to their preservation. The communication infrastructure for such monitoring should have as little impact on the natural ecosystem as possible. Because of their wide range capabilities and independence from heavy infrastructure, low-power wide area network protocols have recently been used in remote monitoring. In this regard, we propose a mobile vehicle-mounted gateway architecture for IoT data collection in communication-network-free areas. The limits of reliable communication are investigated in terms of gateway speed, throughput, and energy consumption. We investigate the performance of various gateway arrival scenarios, focusing on the trade-off between freshness of data, data collection rate, and end-node power consumption. Then we validate our findings using both real-world experiments and simulations. In addition, we present a case study exploiting the proposed architecture to provide coverage for Wadi El-Gemal national park in Egypt. The results show that reliable communication is achieved over all spreading factors (SFs) for gateway speeds up to 150 km/h with negligible performance degradation at SFs=11,12 at speeds more than 100 km/h. The synchronized transmission model ensures the best performance in terms of throughput and power consumption at the expense of the freshness of data. Nonsynchronized transmission allows time-flexible data collection at the expense of increased power consumption. The same throughput as semisynchronized transmission is achieved using four gateways at only five times the energy consumption, while a single gateway requires seventeen times the amount of energy. Furthermore, increasing the number of gateways to ten increases the throughput to the level achieved by the synchronized scenario while consuming eight times the energy.

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selection scheme for mobile end-nodes was presented in [ 45 ];

were assigned to the end-nodes by proactively responding to their mobility in a method that increased the

in comparison with the LoRaWAN-associated ADR.…”

Section: Background and Related Workmentioning

confidence: 99%

Mobility of LoRaWAN Gateways for Efficient Environmental Monitoring in Pristine Sites

Sobhi

Elzanaty

Selim

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…ATS has many uses, such as short read generation, passage reduction, compaction, extracting, and the most important information from sensitive reports, including legal reports produced by legal authorities [19]. ATS can also be used in news text summarizers to assist readers in fnding the most interesting and important content in less time [20][21][22]. Other applications of ATS include sentiment summarization, legal text summarization, scientifc document summarization, tweet summarization, book summarization, story/novel summarization, e-mail summarization, and bio-medical document summarization [23].…”

Section: Text Summarizationmentioning

confidence: 99%

N-GPETS: Neural Attention Graph-Based Pretrained Statistical Model for Extractive Text Summarization

Umair

Alam

Khan

et al. 2022

Computational Intelligence and Neuroscience

Self Cite

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The extractive summarization approach involves selecting the source document’s salient sentences to build a summary. One of the most important aspects of extractive summarization is learning and modelling cross-sentence associations. Inspired by the popularity of Transformer-based Bidirectional Encoder Representations (BERT) pretrained linguistic model and graph attention network (GAT) having a sophisticated network that captures intersentence associations, this research work proposes a novel neural model N-GPETS by combining heterogeneous graph attention network with BERT model along with statistical approach using TF-IDF values for extractive summarization task. Apart from sentence nodes, N-GPETS also works with different semantic word nodes of varying granularity levels that serve as a link between sentences, improving intersentence interaction. Furthermore, proposed N-GPETS becomes more improved and feature-rich by integrating graph layer with BERT encoder at graph initialization step rather than employing other neural network encoders such as CNN or LSTM. To the best of our knowledge, this work is the first attempt to combine the BERT encoder and TF-IDF values of the entire document with a heterogeneous attention graph structure for the extractive summarization task. The empirical outcomes on benchmark news data sets CNN/DM show that the proposed model N-GPETS gets favorable results in comparison with other heterogeneous graph structures employing the BERT model and graph structures without the BERT model.

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“…But, on the whole, the LoRaWAN protocol proved to be suitable for the application scenario, but no field tests were performed. Similarly, by resorting to simulations, [ 25 ] devised an algorithm implementing an alternative adaptive data rate (ADR) scheme to be employed in LoRaWAN-enabled vehicular networks, whose aim was twofold: enhancing performance and reducing power consumption by limiting retransmissions in case of communication breakdown. But, once again, no field tests were performed.…”

Section: Related Workmentioning

confidence: 99%

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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RM-ADR: Resource Management Adaptive Data Rate for Mobile Application in LoRaWAN

Cited by 19 publications

References 30 publications

Mobility of LoRaWAN Gateways for Efficient Environmental Monitoring in Pristine Sites

Mobility of LoRaWAN Gateways for Efficient Environmental Monitoring in Pristine Sites

N-GPETS: Neural Attention Graph-Based Pretrained Statistical Model for Extractive Text Summarization

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

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