Performance modeling and analysis of IEEE 802.11 DCF based fair channel access for vehicle-to-roadside communication in a non-saturated state

Wu, Qiong; Zheng, Jun

doi:10.1007/s11276-014-0766-2

Cited by 18 publications

(20 citation statements)

References 18 publications

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“…The notations in the Markov chain are introduced in Table 1. Like most related work [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], we assume that the collision probability is equal for different transmission and the channel is ideal; a collision occurred only when two nodes within a same communication range transmit packets at the same time.…”

Section: Markov Chain For the Backoff Processmentioning

confidence: 99%

“…Using the similar approximation method in [3], the approximation results of the transmission probability can be obtained, which can be expressed as follows.…”

Section: Performance Analysis For the V2i Fair Accessmentioning

confidence: 99%

“…The analytical results derived in Section 4 are verified through simulation results in this section. Moreover, we compare the derived analytical results with the analytical results derived in [3], i.e., the analytical results without considering the retry limit, to evaluate the performance of the V2I fair access with a retry limit. The simulation scenario is shown in Fig.…”

Section: Performance Analysis For the V2i Fair Accessmentioning

confidence: 99%

“…In the real world, a vehicle would not always have packets prepared for transmitting. In our prior work, we have constructed models to analyze the V2I fair access performance when each vehicle does not always have packets prepared for transmitting [3,4]. However, our prior work does not consider a finite retry limit.…”

Section: Introductionmentioning

confidence: 99%

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Performance evaluation of the V2I fair access with a finite retry limit

Zhang

et al. 2018

J Wireless Com Network

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This paper evaluates the performance of the vehicle-to-infrastructure (V2I) fair access with a finite retry limit through constructing an analytical model. Firstly, the process of the distributed coordination function (DCF) mechanism with a finite retry limit is described through developing a 2-D Markov chain; based on the Markov chain, the transmission probability with the access parameters including the minimum window and the retry limit is derived. Then, considering the V2I unfair access problem, the relationship between the velocity and the transmission probability of a vehicle is derived. Based on the proposed model, given a finite retry limit, the minimum window of a vehicle can be determined according to its velocity. In the simulation, the proposed model is justified to be effective and the V2I fair access performance with a finite retry limit is evaluated through comparison.

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Section: Markov Chain For the Backoff Processmentioning

confidence: 99%

“…Using the similar approximation method in [3], the approximation results of the transmission probability can be obtained, which can be expressed as follows.…”

Section: Performance Analysis For the V2i Fair Accessmentioning

confidence: 99%

Section: Performance Analysis For the V2i Fair Accessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance evaluation of the V2I fair access with a finite retry limit

Zhang

et al. 2018

J Wireless Com Network

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“…In order to successfully and timely transfer the safety-related information, vehicles communicate with each other using the IEEE 802.11p standards [24][25][26]. In IEEE 802.11p, the enhanced distributed coordination function (EDCF) medium access control (MAC) defines the safety-related messages as the event-driven (emergency) messages and other messages as the periodic (routine) messages that contain vehicle status information, e.g., speed and position.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of IEEE 802.11p for Continuous Backoff Freezing in IoV

Xia

Fan

et al. 2019

Electronics

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With the rapid development of cloud computing and big data, traditional Vehicular Ad hoc Networks (VANETs) are evolving into the Internet of Vehicles (IoV). As an important communication technology in IoV, IEEE 802.11p protocols have been studied by many experts and scholars. In IEEE 802.11p, a node’s backoff counter will be frozen when the channel is detected as busy. However, most studies did not consider the possibility of continuous backoff freezing when calculating delay. Thus, in this paper, we focus on the performance analysis of IEEE 802.11p for continuous backoff freezing. Specifically, we establish an analytical model to analyze the broadcast performance in the highway scene where vehicles can obtain traffic density from roadside units through Vehicle to Infrastructure (V2I) communications. We first calculate the relationship between vehicle density and the number of vehicles. Then, we derive the relationship between the number of vehicles and packet delay according to Markov chains. Next, we utilize the probability generating function (PGF) to transform traditional Markov chains into z domain under the situation of non-saturation. Finally, we employ the Mason formula to derive packet delay. As compared with the performance without considering the continuous backoff freezing, the simulation results have demonstrated that our analytical model is more reasonable.

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