On understanding price-QoS war for competitive market and confused consumers

Omar, Driss Ait; Outanoute, M’hamed; Baslam, Mohamed; Fakir, Mohamed; Bouikhalene, Belaid

doi:10.1007/s00607-018-0642-5

Cited by 7 publications

(1 citation statement)

References 26 publications

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“…Several work used game theory in wireless networks (Outanoute et al 2019) (Omar et al 2019a) (Omar et al 2019b) (Garmani et al 2019) (Garmani et al 2018) (Ait Omar et al 2019. The authors in (Le et al 2011) introduced a beacon power control algorithm.…”

Section: Introductionmentioning

confidence: 99%

Distributed and Fair Beacon Power and Beaconing Rate Adaptation Based on Game Theoretic Approach for Connected Vehicles

Ouaskou,

Garmani,

Baslam

2024

International Journal of Cognitive Informatics and Natural Intelligence

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In vehicular ad hoc networks, vehicles regularly transmit information through beacons to raise awareness among nearby vehicles about their presence. However, as the number of beacons increases, the wireless channel becomes congested, resulting in packet collisions and the loss of numerous beacons. This paper addresses the challenge of optimizing joint beaconing power and rate in VANETs. A joint utility-based beacon power and rate game is formulated, treated both as a non-cooperative and a cooperative game. To compute the desired equilibrium, three distributed and iterative algorithms (Best Response Algorithm, Cooperative Bargaining Algorithm) are introduced. These algorithms simultaneously update the optimal values of beaconing power and rate for each vehicle in each step. Extensive simulations showcase the convergence of the proposed algorithm to equilibrium and offer insights into how variations in game parameters may affect the game's outcome. The results demonstrate that the Cooperative Bargaining Algorithm is the most efficient in converging to equilibrium.

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Section: Introductionmentioning

confidence: 99%

Distributed and Fair Beacon Power and Beaconing Rate Adaptation Based on Game Theoretic Approach for Connected Vehicles

Ouaskou,

Garmani,

Baslam

2024

International Journal of Cognitive Informatics and Natural Intelligence

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UAV-Based Ubiquitous Network Access: A Game Theoretic Analysis

Garmani

Omar

Baslam

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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A Dynamic Duopoly Game with Content Providers’ Bounded Rationality

Garmani

Omar

Amrani

et al. 2020

Int. J. Bifurcation Chaos

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This paper investigates the dynamical behaviors of a duopoly model with two content providers (CPs). Competition between two CPs is assumed to take place in terms of their pricing decisions and the credibility of content they offer. According to the CPs’ rationality level, we consider a scenario where both CPs are bounded rational. Each CP in any period uses the marginal profit observed from the previous period to choose its strategies. We compute explicitly the steady states of the dynamical system induced by bounded rationality, and establish a necessary and sufficient condition for stability of its Nash equilibrium (NE). Numerical simulations show that if some parameters of the model are varied, the stability of the NE point is lost and the complex (periodic or chaotic) behavior occurs. The chaotic behavior of the system is stabilized on the NE point by applying control.

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On understanding price-QoS war for competitive market and confused consumers

Cited by 7 publications

References 26 publications

Distributed and Fair Beacon Power and Beaconing Rate Adaptation Based on Game Theoretic Approach for Connected Vehicles

Distributed and Fair Beacon Power and Beaconing Rate Adaptation Based on Game Theoretic Approach for Connected Vehicles

UAV-Based Ubiquitous Network Access: A Game Theoretic Analysis

A Dynamic Duopoly Game with Content Providers’ Bounded Rationality

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