Security and Power Management in IoT and Fog Computing: A Survey

Mohsin, Ali Hameed; Omary, Alauddin Al

doi:10.1109/icdabi51230.2020.9325653

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Related works exist on designing low-power IoT systems using microcontrollers [1][2][3][4][5][6][7][8]. Many works are designed for indoor applications such as home automation systems and robotic systems.…”

Section: Related Workmentioning

confidence: 99%

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Quad-band GSM/GPRS Enabled Low-Power Sensor Node Design For Outdoor IoT Applications

Maduranga¹

2022

Preprint

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<p>People have become increasingly aware of the environment in which they live in recent years. This awareness has prompted the development of a reliable environmental monitoring system. This paper presents an energy-efficient and low-power sensor node that could be used for outdoor Internet of Things (IoT) applications to monitor real-time environment conditions such as humidity and temperature remotely. The proposed sensor node could directly connect with a cellular base station over GSM/GPRS quad-bands 850MHz,900MHz,1800MHz, and 1900MHz without needing any Access Point(AP) in the network. The sensor node consists of a central controller based on Atmega328, a communication module on SIM800, DHT22 temperature, and a humidity sensor with a solar-powered charging system. The system is specially designed for robust IoT outdoor applications such as environment monitoring in wilds, large-scale farms, forests, etc. For optimal usage of the power of the battery, an energy-saving mechanism is proposed based on deep sleep scheduling, thus considerably reducing the power consumption and prolonging the up-time of the sensor node. </p>

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Section: Related Workmentioning

confidence: 99%

“…The system can monitor the real-time temperature and humidity using devices connected to the ThingSpeak cloud [8]. Also, this cloud service is free, and it also allows to save the data with certain limitations.…”

Section: Real-time Monitoringmentioning

confidence: 99%

Quad-band GSM/GPRS Enabled Low-Power Sensor Node Design For Outdoor IoT Applications

Maduranga¹

2022

Preprint

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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations

Kopras,

Idzikowski,

Bogucka

2024

Sensors

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Fog networking has become an established architecture addressing various applications with strict latency, jitter, and bandwidth constraints. Fog Nodes (FNs) allow for flexible and effective computation offloading and content distribution. However, the transmission of computational tasks, the processing of these tasks, and finally sending the results back still incur energy costs. We survey the literature on fog computing, focusing on energy consumption. We take a holistic approach and look at energy consumed by devices located in all network tiers from the things tier through the fog tier to the cloud tier, including communication links between the tiers. Furthermore, fog network modeling is analyzed with particular emphasis on application scenarios and the energy consumed for communication and computation. We perform a detailed analysis of model parameterization, which is crucial for the results presented in the surveyed works. Finally, we survey energy-saving methods, putting them into different classification systems and considering the results presented in the surveyed works. Based on our analysis, we present a classification and comparison of the fog algorithmic models, where energy is spent on communication and computation, and where delay is incurred. We also classify the scenarios examined by the surveyed works with respect to the assumed parameters. Moreover, we systematize methods used to save energy in a fog network. These methods are compared with respect to their scenarios, objectives, constraints, and decision variables. Finally, we discuss future trends in fog networking and how related technologies and economics shall trade their increasing development with energy consumption.

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Security and Power Management in IoT and Fog Computing: A Survey

Cited by 2 publications

References 22 publications

Quad-band GSM/GPRS Enabled Low-Power Sensor Node Design For Outdoor IoT Applications

Quad-band GSM/GPRS Enabled Low-Power Sensor Node Design For Outdoor IoT Applications

A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations

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