Evolutionary coalitional games for random access control

Luo, Xin; Tembiné, Hamidou

doi:10.1109/infcom.2013.6566830

Cited by 14 publications

(5 citation statements)

References 22 publications

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“…Figure 4 plots the optimal state vs the equilibrium state. As noted in [136], the security state is higher when there is a cooperation between the users and when the coalition formation cost is small enough. The inefficiency of Nash equilibria behavior is widely known in game theory in which the Nash equilibrium can be inefficient compared to the global optimum of the system.…”

Section: A Basic Dynamic Mftg: Finite Regimementioning

confidence: 88%

Mean-Field-Type Games in Engineering

Djehiche

Tcheukam

Tembiné

2017

AIMS Electronics and Electrical Engineering

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Section: A Basic Dynamic Mftg: Finite Regimementioning

confidence: 88%

Mean-Field-Type Games in Engineering

Djehiche

Tcheukam

Tembiné

2017

AIMS Electronics and Electrical Engineering

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“…The new strategic preferences based on continuous iterations are provided via the learning stage and a stable coalition structure. The evolutionary stable coalitional structure (ESCS) [26] is employed to represent the stable state of the EC game, in which the vehicle coalitions are resilient to vehicle topology changes. Additionally, the perturbation of strategies is the vehicles' changing due to the joining of new vehicles, NLOS in a vehicle-vehicle link, the message congestion of vehicles, or vehicle exiting location.…”

Section: Evolutionary Coalitional Game Algorithm Based Cooperative Localizaionmentioning

confidence: 99%

Evolutionary Coalitional Game Based Cooperative Localization in Vehicular Network

Yin¹,

Zou²,

Lu³

et al. 2022

Preprint

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Cooperative localization under complex urban environments has become a solution to replace the Global Navigation Satellite System (GNSS) positioning. Due to utilizing distance measured and information exchanged between vehicles, cooperative localization results in high computational complexity and heavy communication overhead. This paper proposes a cooperative localization method based on evolutionary coalitional game theory, which implements vehicles' location estimation with less communication cost. We select the neighboring vehicles to form a coalition based on the node's square position error bound and communication cost. The location is obtained via exchanging information between vehicles. It is evident from the simulations and results that the proposed method holds low communication overhead while maintaining localization accuracy.

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“…Evolutionary stable coalitional structure (ESCS) is significant notion to express the stability and robustness of the game [21]. A stable coalition implies that, in a coalition, no agent can improve its fitness by quitting its current coalition and joining in another one.…”

Section: Anchor Agentmentioning

confidence: 99%

Evolutionary Overlapping Coalitional Game-Based Link Selection for Distributed Cooperative Localization in Mobile Networks

Yin

Zou

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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With the increasing application of Internet of Things (IoT), the localization of IoT devices has been widely used. The distributed cooperative localization is expected to be applied in a large-scale dynamic network, such as IoT. It is located through the exchange of information among multiple nodes. For a large amount of battery-based users, the high-computational complexity and heavy communication overhead will lead to huge energy consumption. In this paper, we propose a link selection algorithm based on the evolutionary overlapping coalitional (EOC) game to mitigate the energy consumption for distributed cooperative localization in the dynamic network. The equivalent Fisher information matrix (EFIM) and the Cramér–Rao lower bound (CRLB) are employed to keep location accuracy. Numerical results verify that the distributed cooperative localization based on the EOC game achieves lower energy consumption while keeping localization accuracy in the dynamic networks.

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Evolutionary coalitional games for random access control

Cited by 14 publications

References 22 publications

Mean-Field-Type Games in Engineering

Mean-Field-Type Games in Engineering

Evolutionary Coalitional Game Based Cooperative Localization in Vehicular Network

Evolutionary Overlapping Coalitional Game-Based Link Selection for Distributed Cooperative Localization in Mobile Networks

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