Future generation communications with game strategies: A comprehensive survey

Gupta, R.; Gupta, J. P.

doi:10.1016/j.comcom.2022.05.024

Cited by 13 publications

(5 citation statements)

References 148 publications

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“…Game theory, as a field of contemporary mathematics, tries to investigate how individuals and groups with conflicting objectives use their own knowledge and resources to maximise socially defined benefits [116]. It is now widely adopted in energy trading sectors to model peers' behaviours [117] or formulate game-theoretical incentives [118].…”

Section: Game Theory-based Incentive Mechanismsmentioning

confidence: 99%

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Sun,

Tavakoli,

Khalilpour

et al. 2024

Sustainability

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The growing adoption of distributed energy production technologies and the potential for energy underutilisation when the energy is produced by non-connected groups has raised interest in developing ‘sharing economy’ concepts in the electricity sector. We suggest that mechanisms, such as peer-to-peer (P2P) energy trading, will allow users to exchange their surplus energy for mutual benefits, stimulate the adoption of renewable energy, encourage communities to ‘democratically’ control their own energy supplies for local development, improve energy efficiency, and create many other benefits This approach is receiving increasing attention across the world, particularly in Germany, the Netherlands and Australia. Nevertheless, the actual development and implementation of these platforms are slow and mostly limited to trial activities. This study investigates the challenges and barriers facing P2P energy trading developments based on previous academic and industry studies. We provide a comprehensive multidimensional barrier analysis through a PESTLE approach to assess the barriers from a variety of perspectives, including the political (P), economic (E), social (S), technological (T), legal (L), and environmental (E) aspects. This approach clarifies the many intersecting problem fields for P2P trading in renewable energy, and the paper identifies a list of such barriers and discusses the prospects for addressing these issues. We also elaborate on the importance of incentive-based P2P market design.

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Section: Game Theory-based Incentive Mechanismsmentioning

confidence: 99%

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Sun,

Tavakoli,

Khalilpour

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Game theory, as a field of contemporary mathematics, is among the most essential tools in social science. It tries to investigate how individuals and groups with conflicting objectives use their own knowledge and resources to maximise benefits [115]. It is now widely adopted in energy trading sectors to model peers' behaviours [116] or formulate game-theoretical incentives [117].…”

Section: Game Theory-based Incentive Mechanismsmentioning

confidence: 99%

Barriers of Peer-to-Peer Energy Trading Networks: A Multi-dimensional PESTLE Analysis

Sun,

Tavakoli,

Khalilpour

et al. 2023

Preprint

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The growing adoption of distributed energy production technologies, and the potential of energy underutilization when it is produced by non-connected groups, has raised interest in ‘sharing economy’ concepts in the electricity sector. We suggest that mechanisms, such as peer-to-peer (P2P) energy trading, will allow users to exchange their surplus energy for mutual benefits, stimulate the adoption of renewable energy, encourage communities to ‘democratically’ control their own energy supplies for local development, and improved energy efficiency, and create many other benefits This approach is receiving increasing attention across the world, particularly in Germany, the Netherlands and Australia. Nevertheless, the actual development and implementation of these platforms is slow and mostly limited to trial activities. This study investigates the challenges and barriers facing P2P energy trading developments based on previous academic and industry studies. We provide a comprehensive multidimensional barrier analysis through a PESTLE approach to assess the barriers from a variety of perspectives, including the political (P), economic (E), social (S), technological (T), legal (L), and environmental (E) aspects. This approach clarifies the many intersecting problem fields of P2P trading in renewable energy, and the paper identifies a list of such barriers, and discusses the prospects for addressing these issues. We also elaborate on the importance of incentive-based P2P market design.

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“…The performance of these concepts is compared with a cooperative solution and the impact of multiple power levels is analyzed. Game theory has also been used to capture the interactions between a set of IoT devices and predict their optimal strategies on contemporary IoT networks by analyzing the Nash and/or Stackelberg equilibrium [23]. The authors in [24] use the Nash equilibrium to provide an energyefficient access point allocation in an IoT network.…”

Section: Related Workmentioning

confidence: 99%

Grant-Free Power Allocation for Ultra-Dense IoT: A Mean Field Perspective

Nadif

Sabir

Elbiaze

et al. 2022

2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet)

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Grant-free access, in which each Internet-of-Things (IoT) device delivers its packets through a randomly selected resource without spending time on handshaking procedures, is a promising solution for supporting the massive connectivity required for IoT systems. In this paper, we explore grant-free access with multi-packet reception capabilities, with an emphasis on ultra-low-end IoT applications with small data sizes, sporadic activity, and energy usage constraints. We propose a power allocation scheme that integrates the IoT device's traffic and energy budget by using a stochastic geometry framework and meanfield game theory to model and analyze mutual interference among active IoT devices. We also derive a Markov chain model to capture and track the IoT device's queue length and derive the successful transmission probability at steady-state. Simulation results illustrate the optimal power allocation strategy and show the effectiveness of the proposed approach.

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Future generation communications with game strategies: A comprehensive survey

Cited by 13 publications

References 148 publications

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Barriers of Peer-to-Peer Energy Trading Networks: A Multi-dimensional PESTLE Analysis

Grant-Free Power Allocation for Ultra-Dense IoT: A Mean Field Perspective

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