Energy-Efficient IoT for 5G: A Framework for Adaptive Power and Rate Control

Homssi, Bassel Al; Ai-Hourani, Akram; Chavez, Karina Gomez; Chandrasekharan, Sathyanarayanan; Kandeepan, Sithamparanathan

doi:10.1109/icspcs.2018.8631733

Cited by 12 publications

(8 citation statements)

References 13 publications

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“…An energy efficient framework is proposed in [36] for managing and controlling data rate and transmission power of IoT devices and for minimizing energy consumption in 5G networks. According to the proposed framework, the consumption of energy can be optimized in three ways: 1) optimal power with fix rate given 2) optimal rate with fixed power is given and 3) an optimal combination of both power and rate.…”

Section: B Energy Optimization In 5gmentioning

confidence: 99%

Privacy Protection and Energy Optimization for 5G-Aided Industrial Internet of Things

et al. 2020

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The 5G is expected to revolutionize every sector of life by providing interconnectivity of everything everywhere at high speed. However, massively interconnected devices and fast data transmission will bring the challenge of privacy as well as energy deficiency. In today's fast-paced economy, almost every sector of the economy is dependent on energy resources. On the other hand, the energy sector is mainly dependent on fossil fuels and is constituting about 80% of energy globally. This massive extraction and combustion of fossil fuels lead to a lot of adverse impacts on health, environment, and economy. The newly emerging 5G technology has changed the existing phenomenon of life by connecting everything everywhere using IoT devices. 5G enabled IIoT devices has transformed everything from traditional to smart, e.g. smart city, smart healthcare, smart industry, smart manufacturing etc. However, massive I/O technologies for providing D2D connection has also created the issue of privacy that need to be addressed. Privacy is the fundamental right of every individual. 5G industries and organizations need to preserve it for their stability and competency. Therefore, privacy at all three levels (data, identity and location) need to be maintained. Further, energy optimization is a big challenge that needs to be addressed for leveraging the potential benefits of 5G and 5G aided IIoT. Billions of IIoT devices that are expected to communicate using the 5G network will consume a considerable amount of energy while energy resources are limited. Therefore, energy optimization is a future challenge faced by 5G industries that need to be addressed. To fill these gaps, we have provided a comprehensive framework that will help energy researchers and practitioners in better understanding of 5G aided industry 4.0 infrastructure and energy resource optimization by improving privacy. The proposed framework is evaluated using case studies and mathematical modelling.

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Section: B Energy Optimization In 5gmentioning

confidence: 99%

Privacy Protection and Energy Optimization for 5G-Aided Industrial Internet of Things

et al. 2020

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“…In addition, the connected device consumes a 0 P power by the communication module. In this context, the active and the sleep mode, as in ( 8), are the two energy states of an IoT device that need to be considered [11]…”

Section: ) Energy Consumption Modelmentioning

confidence: 99%

“…where constraint (11) guarantees that the sum of transferred traffic by a devices i assigned to the slice j should not exceed the maximum allocated data rate capacity. Moreover, without violating the non-interference principle between slices, constraint (12) ensures a perfect isolation between them.…”

mentioning

confidence: 99%

Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0

Messaoud

Bradai

Moulay

2020

IEEE Trans. Ind. Inf.

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“…Fortunately, the Internet of Everything has been made possible by the advent of 5G technology, which provides connected devices with gigabit data rates and low-latency communications. The 5G-enabled WSN has consequently attracted a lot of attention from the industry and academia [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Petri-Net Based Multi-Objective Optimization in Multi-UAV Aided Large-Scale Wireless Power and Information Transfer Networks

Qin

Zhao

et al. 2021

Remote Sensing

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Power consumption in wireless sensor networks is high, and the lifetime of a battery has become a bottleneck, restricting network performance. Wireless power transfer with a ground mobile charger is vulnerable to interference from the terrain and other factors, and hence it is difficult to deploy in practice. Accordingly, a novel paradigm is adopted where a multi-UAV (unmanned aerial vehicle) with batteries can transfer power and information to SDs (sensor devices) in a large-scale sensor network. However, there are discrete events, continuous process, time delay, and decisions in such a complicated system. From the perspective of a hybrid system, a hybrid colored cyber Petri net system is proposed here to depict and analyze this problem. Furthermore, the energy utilization rate and information collection time delay are conflict with each other; therefore, UAV-aided wireless power and information transfer is formulated as a multi-objective optimization problem. For this reason, the MAC-NSGA II (multiple ant colony-nondominated sorting genetic algorithm II) is proposed in this work. Firstly, the optimal trajectory of multiple UAVs was obtained, and on this basis, the above two objectives were optimized simultaneously. Large-scale simulation results show that the proposed algorithm is superior to NSGA II and MOEA/D in terms of energy efficiency and information collection delay.

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Energy-Efficient IoT for 5G: A Framework for Adaptive Power and Rate Control

Cited by 12 publications

References 13 publications

Privacy Protection and Energy Optimization for 5G-Aided Industrial Internet of Things

Privacy Protection and Energy Optimization for 5G-Aided Industrial Internet of Things

Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0

Petri-Net Based Multi-Objective Optimization in Multi-UAV Aided Large-Scale Wireless Power and Information Transfer Networks

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