Bayesian game-theoretic approach based on 802.11p MAC protocol to alleviate beacon collision under urban VANETs

Kwon, Young-Jik; Rhee, Byung Ho

doi:10.1007/s12239-016-0018-9

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…The suggested approach has been tested against various vehicle densities to evaluate its performance and effectiveness with the existing of the channel congestion. The PWCW has been analyzed and compared to another approach that is called power based Bayesian (PWBY) and it is implemented from literature as in [15]. Five types of network measurements have been used to evaluate the performance of the proposed approach as follows: − Received packets (Mbps): It represents the total received messages at the receiver vehicle.…”

Section: Resultsmentioning

confidence: 99%

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Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Amer

Hadi

Shihab

et al. 2022

IJECE

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Technology such as vehicular ad hoc networks can be used to enhance the convenience and safety of passenger and drivers. The vehicular ad hoc networks safety applications suffer from performance degradation due to channel congestion in high-density situations. In order to improve vehicular ad hoc networks reliability, performance, and safety, wireless channel congestion should be examined. Features of vehicular networks such as high transmission frequency, fast topology change, high mobility, high disconnection make the congestion control is a challenging task. In this paper, a new congestion control approach is proposed based on the concept of hybrid power control and contention window to ensure a reliable and safe communications architecture within the internet of vehicles network. The proposed approach performance is investigated using an urban scenario. Simulation results show that the network performance has been enhanced by using the hybrid developed strategy in terms of received messages, delay time, messages loss, data collision and congestion ratio.

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Section: Resultsmentioning

confidence: 99%

“…The power control MAC layer has been modelled as a game-theoretic approach in [15]. A model of Bayesian noncooperative game has been formulated to transmit traffic data for the communication bandwidth in deficient knowledge conditions.…”

Section: Methodsmentioning

confidence: 99%

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Amer

Hadi

Shihab

et al. 2022

IJECE

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“…Furthermore, some vehicle nodes may deviate from the MAC protocol to obtain an unfair bandwidth share. To solve these problems, GT has been applied by several studies for collision alleviation [75], [96], competition resolution [76], [77], and greedy behavior prevention [78]. It should be noted that they are theoretical models based on the standard MAC protocol of CSMA/CA released by IEEE 802.11p [163] and the radio resource control (RRC) released by 3GPP LTE [164].…”

Section: • Summary and Conclusion Of Gt For Cluster-based Routingmentioning

confidence: 99%

Applications of Game Theory in Vehicular Networks: A Survey

Sun

Liu²,

Wang

et al. 2021

IEEE Commun. Surv. Tutorials

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In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that provide efficient and secure traffic and ubiquitous access to various applications. However, as the number of nodes in ITS increases, it is challenging to satisfy a varied and large number of service requests with different Quality of Service (QoS) and security requirements in highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources to achieve either an individual or a group's objectives. Game Theory (GT), a theoretical framework designed for strategic interactions among rational decision-makers sharing scarce resources, can be used to model and analyze individual or group behaviors of communicating entities in VNs. This paper primarily surveys the recent developments of GT in solving various challenges of VNs. This survey starts with an introduction to the background of VNs. A review of GT models studied in the VNs is then introduced, including its basic concepts, classifications, and applicable vehicular issues. After discussing the requirements of VNs and the motivation of using GT, a comprehensive literature review on GT applications in dealing with the challenges of current VNs is provided. Furthermore, recent contributions of GT to VNs integrating with diverse emerging 5G technologies are surveyed. Finally, the lessons learned are given, and several key research challenges and possible solutions for applying GT in VNs are outlined.

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“…In this medium access game, we regard

p_{i}^{t - 1}

, which is player i 's transmission probability in the previous stage of the game, as its type in the incomplete information game. Similar to the work of Kwon and Rhee, we denote the belief of each player with probabilistic distribution ϕ ∈[0,1], and following the work of Tadelis, we can express the definition of a Bayesian NE (BNE).…”

Section: System Modelsmentioning

confidence: 99%

“…Cuomo et al proposed a high throughput dissemination scheme for VANETs based on the dynamic formation of a multihop backbone network. Kwon and Rhee considered game theoretic models of wireless MAC where each transmitter makes individual decisions regarding their power level or transmission probability to avoid beacon congestion.…”

Section: Introductionmentioning

confidence: 99%

A vehicle's weight‐based prioritized reciprocity MAC

Lang

Wang

Mei

et al. 2019

Trans Emerging Tel Tech

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In vehicular ad hoc networks, vehicles compete for channel access through the medium access control protocol to transmit messages. Most traditional medium access methods assign the same probability to all vehicles accessing the channel and ignore the intrinsic attributes of different vehicles. Attributes regarding the position and role of a vehicle are important factors to be considered when a vehicle is competing for the channel. In this paper, we introduce a new notion of a weight factor in a fair medium access game and propose a game model to adjust each node's channel access probability with complete information in the vehicular environment based on the weight factors of vehicles. The weight of a vehicle represents a specific property, such as the distance between vehicles, the vehicle's role, and so on, which can be used to distinguish priorities of different vehicles during channel competition. We also provide instances of relevant applications by using the distance between vehicles and a vehicle's role. Then, we analyze the incomplete information game in which each node cannot acquire the previous channel access probabilities of other nodes. Moreover, we construct a distributed best-response learning algorithm based on the medium access game model and demonstrate that the game can converge to a unique and stable equilibrium under certain conditions. Furthermore, we investigate some performance indicators such as channel access delay and normalized throughput and perform extensive numerical analyses compared with the IEEE 802.11p protocol and an existing game-based medium access control algorithm without consideration of weights. The performance comparison of high-priority nodes and all nodes in a network is also studied. Finally, we analyze the effects of the proportion of high-priority nodes on the performance of the channel. The performance improvement after introducing the weight factor is verified by these numerical results.Trans Emerging Tel Tech. 2019;30:e3654.wileyonlinelibrary.com/journal/ett

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Bayesian game-theoretic approach based on 802.11p MAC protocol to alleviate beacon collision under urban VANETs

Cited by 9 publications

References 13 publications

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

Applications of Game Theory in Vehicular Networks: A Survey

A vehicle's weight‐based prioritized reciprocity MAC

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