Energy-Efficient Communication Protocols for Massive IoT Deployments: Green IoT

The Internet of Things (IoT) is a rapidly growing technology that connects billions of devices, generating significant energy consumption. However, this energy consumption is a significant concern for the environment. Green IoT aims to reduce this energy consumption by incorporating strategies such as designing energy-efficient data centers, transmitting data from sensors, and implementing energy-efficient policies. These strategies can help create a sustainable environment for IoT devices. A case study of smartphones is provided to illustrate the importance of adopting green IoT practices. By focusing on energy-efficient data centers, data transmission, and policies, IoT devices can contribute to a more sustainable and environmentally friendly future.

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Publication Details

Journal
Advances in Machine Learning IoT and Data Security
Published
2024-08-25
DOI
https://doi.org/10.63471/ml24001
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy-Efficient Communication Protocols for Massive IoT Deployments: Green IoT

Misha Billah, Mushtaq Hussain, Md. Mehedi Hasan, Nur Mohammad
Advances in Machine Learning IoT and Data Security
IoT and Edge/Fog Computing
article

Energy-Efficient Communication Protocols for Massive IoT Deployments: Green IoT

Misha Billah, Mushtaq Hussain, Md. Mehedi Hasan, Nur Mohammad
article en

Abstract

The Internet of Things (IoT) is a rapidly growing technology that connects billions of devices, generating significant energy consumption. However, this energy consumption is a significant concern for the environment. Green IoT aims to reduce this energy consumption by incorporating strategies such as designing energy-efficient data centers, transmitting data from sensors, and implementing energy-efficient policies. These strategies can help create a sustainable environment for IoT devices. A case study of smartphones is provided to illustrate the importance of adopting green IoT practices. By focusing on energy-efficient data centers, data transmission, and policies, IoT devices can contribute to a more sustainable and environmentally friendly future.

Advances in Machine Learning IoT and Data Security
Wycliffe College (CA), Daffodil International University (BD), East–West University (US), University of North Texas at Dallas (US)
Openalex Percentile: Top 65%
IoT and Edge/Fog Computing
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Energy-Efficient Communication Protocols for Massive IoT Deployments: Green IoT — Misha Billah, Mushtaq Hussain, et al. · Advances in Machine Learning IoT and Data Security (2024) | TGRS Research Map | TGRS