A Brief Overview of Energy Efficiency Resources in Emerging Wireless Communication Systems

Ibhaze, Augustus E.; Imoize, Agbotiname Lucky; Okoyeigbo, Obinna

doi:10.3390/telecom3020016

Cited by 10 publications

(4 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [15], [23], [24], [60] and [61] have made progress in analyzing the feasibility of using visible light communication (VLC) as a means of wirelessly transmitting downhole data. [62], discussed the existing telemetry systems, and gave an overview of the VLC system.…”

Section: Discussion Of Related Workmentioning

confidence: 99%

A Review of Downhole Communication Technologies

E. Ibhaze,

O. Akinola,

Lucky Imoize

et al. 2022

JTEC

View full text Add to dashboard Cite

Different telemetry techniques have been tested and used in the oil and gas industry to acquire data via downhole monitoring. However, the rate at which conventional telemetry systems transmit data is low. In order to address this problem, some telemetry techniques have been proposed. The wired and wireless drill pipes are among the contending classifications of telemetry techniques used in downhole monitoring. This review provides an in-depth overview of the existing and researched methods of downhole monitoring by highlighting their particular challenges and innovations for which the wireless drill pipe based on visible light communication techniques proves to be promising as an optimal telemetry technique. The review will guide future research studies in the common area of interest in downhole monitoring. The study will contribute significantly to the oil and gas industry by investigating the effectiveness of emerging technologies such as visible light communication technology in transmitting data at a very high rate compared to the existing telemetry techniques.

show abstract

Section: Discussion Of Related Workmentioning

confidence: 99%

A Review of Downhole Communication Technologies

E. Ibhaze,

O. Akinola,

Lucky Imoize

et al. 2022

JTEC

View full text Add to dashboard Cite

show abstract

“…This drives energy efficiency efforts. Ibhaze et al [15] also highlighted the need for energy-efficient solutions in emerging wireless systems to avoid unnecessary power consumption. Choosing efficient technologies minimizes costs.…”

Section: Resource Scarcitymentioning

confidence: 99%

Sustainable Development Adoption in the High-Tech Sector: A Focus on Ecosystem Players and Their Influence

Lee,

Dervishi,

Mousa

et al. 2023

Sustainability

View full text Add to dashboard Cite

In an era marked by increasing concerns about environmental sustainability, the telecommunications industry faces a pressing need to examine its commitment to sustainable development practices. Therefore, this study investigated the drivers and constraints influencing the adoption of such practices within the industry, with particular emphasis on the roles and interactions of ecosystem players. The research employed structural equation modeling (SEM) in AMOS to test the hypotheses and multilayer perceptron (MLP), which is an artificial neural network model, to assess the importance of each variable in the context of sustainable development adoption (SDA). This study analyzed data obtained from a diverse sample of telecommunications professionals, including telecom operators, device manufacturers, technology providers, and content and service providers. The findings reveal that stakeholder expectations held the highest normalized importance, suggesting their paramount influence in driving sustainable practices within the industry. Competitive advantage emerged as the second most significant factor, contributing to the adoption of sustainable strategies by companies. Conversely, cost and ROI concerns presented a constraint that potentially hindered SDA. This research contributes to the comprehensive understanding of sustainable development in the high-tech sector, aiding industry practitioners and policymakers in fostering a more sustainable future for the telecommunications industry. The implications derived from the sensitivity analysis provide valuable insights into prioritizing efforts and resources to enhance sustainable development adoption in the telecommunications sector.

show abstract

“…Cellular communications are not cost‐effective for sparse rangeland areas due to the high deployment and bandwidth subscription costs against low user density. Cellular communication is also affected by the high power consumption of the receivers, which is a significant drawback for embedded devices [6]. NBIoT and Sigfox are subscription based, which increases system costs.…”

Section: Introductionmentioning

confidence: 99%

Machine learning‐based LoRa localisation using multiple received signal features

Islam

Murray

Diepeveen

et al. 2023

IET Wireless Sensor Systems

View full text Add to dashboard Cite

Low‐power localisation systems are crucial for machine‐to‐machine communication technologies. This article investigates LoRa technology for localisation using multiple features of the received signal, such as Received Signal Strength Indicator (RSSI), Spreading Factors (SF), and Signal to Noise Ratio (SNR). A novel range‐based technique to estimate the distance of a target node from a LoRa gateway using machine‐learning models that incorporates SF, SNR, and RSSI to train the models is proposed. A modified trilateration approach is then used to localise the target node from three gateways. Our experiment used three LoRaWAN gateways and two sensor nodes, on a sports oval with an approximate area coverage of 30,000 square metres. The authors also used a public LoRaWAN dataset to build a model test the proposed method and compare both range‐based distance mapping with trilateration and fingerprint‐based direct location estimation techniques. Our method achieved an average distance error of 43.97 m on our experimental dataset. The results show that the combination of RSSI, SNR, and SF‐based distance mapping provides ∼10% improvement on ranging accuracy and 26.58% higher accuracy for trilateration‐based localisation when compared with just using RSSI. Our method also achieved 50% superior localisation accuracy with fingerprint‐based direct location estimation approaches.

show abstract

A Brief Overview of Energy Efficiency Resources in Emerging Wireless Communication Systems

Cited by 10 publications

References 89 publications

A Review of Downhole Communication Technologies

A Review of Downhole Communication Technologies

Sustainable Development Adoption in the High-Tech Sector: A Focus on Ecosystem Players and Their Influence

Machine learning‐based LoRa localisation using multiple received signal features

Contact Info

Product

Resources

About