EWS: Exponential Windowing Scheme to Improve LoRa Scalability

Saluja, Deepak; Singh, Rohit; Gautam, Sukriti; Kumar, Suman

doi:10.1109/tii.2021.3074377

Cited by 5 publications

(5 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Note that the numbers next to the probabilities symbols in the legend refer to the equations of each probability in this paper. We also recall that Q i and Q * j can be obtained by (17), while C 1 and C 2 by ( 18) with the proper parameters. Here, we investigate the accuracy of these probabilities.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…There are several recent works presenting techniques to increase the performance of LPWAN technologies. Some works focused on coding and replication techniques [10]- [14], while there are works handling specific parameter selection [15]- [17], and use cases in industrial scenarios [18]- [21], although some of their results can be extended to any generic use case.…”

Section: A Related Workmentioning

confidence: 99%

“…However, this proved inefficient, and then works considering the amount of interference [15] or dynamic scheduling [16] have been proposed. Finally, authors in [17] proposed a novel distance-based method with a tunable parameter that adapts to the network traffic. They evaluate the proposed scheme with a stochastic geometry model, and their results outperform the most discussed distance-based schemes in the literature.…”

Section: A Related Workmentioning

confidence: 99%

“…When ( 19) is not satisfied, we have multiplexed messages that will never be decoded due to self-interference. Moreover, it leads to non-negative numbers on the last term of the 2 F 1 (•) function in (17), presenting undesired behaviors, like complex results. Different from (7), we could not find a closed-form equation to represent the transmit power levels as a function of M no , because of the excessive algebraic complexity.…”

Section: General Equationsmentioning

confidence: 99%

See 3 more Smart Citations

Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN

Sant'Ana

Montejo‐Sánchez²,

Souza

et al. 2024

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

In this work, we address a novel replication scheme for Internet-of-Things (IoT) low power wide area networks (LPWAN), considering the ability of a gateway to recover, through successive interference cancellation (SIC), superposed signals in the power domain. We show that the introduced mathematical framework matches the Monte Carlo simulations. The proposed scheme outperforms typical transmission schemes, at least from 1 to 2 orders of magnitude, in terms of outage probability. We also show that the scheme fits well with previous replication schemes, outperforming their versions without non-orthogonal replications. Moreover, we show that the proposed scheme can be robust to cases with high SIC imperfection, presenting slight performance losses even in very harsh scenarios, as long as the constraints are met. Finally, we conclude that the proposed scheme can be more energy efficient than previous replication schemes and achieve better reliability in traffic-loaded networks.

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: General Equationsmentioning

confidence: 99%

See 2 more Smart Citations

Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN

Sant'Ana

Montejo‐Sánchez²,

Souza

et al. 2024

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…To increase the scalability of LoRa networks, authors in [71] propose an exponential windowing technique (EWS). EWS is a method of allocating resources depending on the distance.…”

Section: Scalabilitymentioning

confidence: 99%

Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions

2022

View full text Add to dashboard Cite

Industry 4.0 relates to the digital revolution of manufacturing and other markets such as retail, distribution, oil and gas, and infrastructure. On the other hand, the Industrial Internet of Things (IIoT) is a technological advancement that leads to Industry 4.0 implementation by boosting the manufacturing sector's productivity and economic impact. IIoT provides the ability to provide global connectivity between components in different locations. The manufacturing sector has had various difficulties implementing IIoT, primarily due to IoT characteristics. We offer an in-depth review of Industry 4.0 and IIoT in this survey. The primary motivation behind this survey is to introduce the most recent advancements related to Industry 4.0 and IIoT and to address the existing limitations. First, we provide a novel taxonomy of IIoT challenges that includes aspects of each challenge, such as the terminology and approaches utilized to solve these challenges. Besides IIoT challenges, this survey provides an in-depth demonstration of the many concepts related to IIoT, such as architecture and use cases. Second, the study provides a comprehensive review to study the state-of-the-art of Industry 4 in terms of concepts, requirements and supporting technology. In addition, we discuss the correlation between enabling technology and technical requirements in detail. Finally, our survey targets deep learning, edge computing, and big data as key techniques for future IIoT. Furthermore, the presented technique is thoroughly examined to present a different method for future adoption. Additionally, to the proposed technique, we propose a new architecture for the future of IIoT based on three primary techniques.

show abstract

Localized Indoor / Outdoor Lora Net Work A Review

Sharma

Roy

2023

2023 1st International Conference on Intelligent Computing and Research Trends (ICRT)

View full text Add to dashboard Cite

EWS: Exponential Windowing Scheme to Improve LoRa Scalability

Cited by 5 publications

References 43 publications

Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN

Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN

Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions

Localized Indoor / Outdoor Lora Net Work A Review

Contact Info

Product

Resources

About