A Comprehensive Study of Game Theory Applications for Smart Grids, Demand side Management Programs and Transportation Networks

Mohammadi, Ali; Rabinia, Sanaz

doi:10.1007/978-3-030-02656-1_5

Cited by 7 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several authors have incorporated the game‐theoretic approach in IoT environments. In 2019, Mohammadi and Rabinia 20 carried out a comprehensive study of game‐based decision‐making in different application areas including smart grids, and transportation. The authors discussed several factors for improving system reliability, allocating resources in a wireless system, and solving power‐related problems.…”

Section: Literature Surveymentioning

confidence: 99%

Internet of things‐fog computing‐based framework for smart disaster management

Aljumah

Kaur

Bhatia

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Smart building incorporates the ubiquitous sensing ability of Internet of things (IoT) technology with the industrial infrastructure for automating decision‐making. Inspired by this, a novel technique of stochastic game net (SGN) has been proposed to minimize the tangible and intangible infrastructural losses due to disasters. Specifically, IoT technology is used for disaster management and control in a smart building based on SGN. In the proposed technique, every IoT sensor act as an individual player with prefixed action sets and strategies. Complete SGN of the IoT network in the smart building is formalized by collaborating SGN of an individual sensor. The model deployed in IoT building with different sensors detects disasters beforehand and generates early warning alerts to management units based on game‐theoretic decision‐making. Experimental evaluation on four challenging datasets, namely, disaster/accident sources, gas sensor drift, red cross smoke alarm, and oil spills show the effectiveness of a proposed framework in the smart building. The results are compared with several state‐of‐the‐art decision‐making techniques to measure the overall effectiveness of the proposed system. Based on simulations performed on NetLogo 5.3.1, enhanced results of performance parameters including temporal delay, statistical efficiency, reliability, and stability were registered. Moreover, mathematical analysis has been carried out to determine the overall performance of the presented technique.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Internet of things‐fog computing‐based framework for smart disaster management

Aljumah

Kaur

Bhatia

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The experimental analysis depicts that the proposed game‐based strategy is more effective as compare to traditional scenarios. In 2019, Mohammadi and Rabinia 33 carried out a comprehensive study of GT in different application areas namely Smart Grids and Transportation Networks. Authors discussed various aspects like improving system reliability, allocating resources in a wireless system, and solving power‐related problems.…”

Section: Literature Surveymentioning

confidence: 99%

Quantum computing inspired framework of student performance assessment in smart classroom

Bhatia

Kaur

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Summary Internet of Things (IoT) technology, merged with fog‐cloud computing, has provided efficient services in the education industry. Inspired by this aspect, this paper presents an effective framework of the smart classroom for optimal evaluation of the performance of students and teachers based on quantum game‐theoretic (QGT) decision making. Specifically, IoT technology is incorporated inside the classroom to acquire data about students and teachers for determining the academic enhancement of students. The acquired data is evaluated over the fog‐cloud computing platform to estimate a quantifiable measure of probability of performance using the Bayesian modeling technique. Moreover, to analyze the student and teacher performance over the temporal scale, student performance indicator and teacher performance indicator are calculated. Finally, student‐teacher performance is assessed using the effective two‐player quantum gametic decision‐making. The experimental simulation on four challenging datasets namely student performance (7029 instances), student academic performance (3585 instances), student performance prediction (2120 instances), and student performance analysis (6507 instances) shows the effectiveness of the proposed framework. The simulation results are contrasted with various state‐of‐the‐art techniques to estimate the overall efficiency of the proposed system. Moreover, mathematical analysis has been carried out to depict the performance of the proposed framework.

show abstract

“…EVs transfer the surplus electricity to the power grid through discharging. Kempton and Tomić [12] defined the EV energy transfer to the power network using equation (1).…”

Section: Discharging Capacities Of Evsmentioning

confidence: 99%

A Study of Smart Grid Effects on Electric Vehicle Management Considering the Change of the Power Capacity Mix

Park¹

2018

TOTJ

View full text Add to dashboard Cite

Background: To understand the Electric Vehicle (EV) management effects deeply using Smart Grids (SGs) in the electric power sector, it is necessary to examine supply specifics such as the generation mix, generation costs, and CO2 emissions as well as the demand sector including peak load. This study attempts to comprehensively examine the changes in power supply and demand their effects in accordance with the degree of SG utilization, based on a scenario for the projection of EV roll-out in South Korea. Objectives: This study considers the change of the generation capacity mix as well as the change of power generation mix using the WASP model for the analysis of SG effects on EV management. In the scenario of the Korean government's EV deployment, this study has confirmed how electric power demand changes according to the degree of smart grid utilization. In addition, the WASP model has been used to examine not only the power generation mix but also the change in the installed capacity. Result: As a result, if the share of cost-effective and clean power generation sources is below the minimum load, the unit cost and CO2 emission could not be reduced together even though SGs are used to manage EVs. Conclusion: Increasing the share of power generation from clean energy sources to a level higher than that of the minimum load will allow EVs to become an eco-friendly means of transportation.

show abstract

A Comprehensive Study of Game Theory Applications for Smart Grids, Demand side Management Programs and Transportation Networks

Cited by 7 publications

References 19 publications

Internet of things‐fog computing‐based framework for smart disaster management

Internet of things‐fog computing‐based framework for smart disaster management

Quantum computing inspired framework of student performance assessment in smart classroom

A Study of Smart Grid Effects on Electric Vehicle Management Considering the Change of the Power Capacity Mix

Contact Info

Product

Resources

About