A QoS-Aware Traffic Management Policy for IoT-enabled Smart City Applications based on Edge Cloud Computing

Absardi, Zeinab Nazemi; Javidan, Reza

doi:10.1109/sciot56583.2022.9953660

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Mobile Edge Computing (MEC) systems with energy harvesting equipment can provide data offloading services at the network edge, reducing end-toend latency and device energy consumption [27]. Furthermore, edge cloud computing, along with QoS-aware traffic management policies, can significantly reduce application running time and energy consumption in smart city scenarios [28]. Finally, the use of distributed deep meta learning-driven task offloading ensures effective and efficient decision-making for IoT applications, considering the changing environments of edge servers and bandwidth [29].…”

Section: Integration Of Iot and Smart Computing In Energy Systemsmentioning

confidence: 99%

Implementation of Edge Computing IoT-based Database Management System for Renewable Energy Management in Indonesia

Widyatmoko,

Salfin,

Mayasari

et al. 2023

WSIST

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The implementation of an IoT Smart Computing-based Database Management System (DBMS) for renewable energy management in Indonesia represents a pivotal step toward sustainable energy practices. This research conducted a comprehensive analysis using both descriptive and inferential statistics based on data collected from 100 renewable energy sources. The results revealed a mean energy production of 500 kWh, coupled with a high mean reliability index of 0.92, indicating a stable and consistent energy supply. Regression analysis highlighted a positive correlation between sunlight exposure and energy production, emphasizing the need for adaptive strategies in harnessing varying climatic conditions. Hypothesis testing confirmed the significant improvement in energy management metrics compared to traditional systems (p < 0.001). The findings provide valuable insights for optimizing renewable energy utilization and offer practical recommendations for stakeholders involved in Indonesia's renewable energy landscape.

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Section: Integration Of Iot and Smart Computing In Energy Systemsmentioning

confidence: 99%