Improving fairness in IEEE 802.11 networks using MAC layer opportunistic retransmission

Hagelstein, Brett; Franklin, Daniel; Safaei, Farzad

doi:10.1016/j.comnet.2013.07.026

Cited by 8 publications

(7 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cui et al extended the random access game model to a network with multiple contention measurement signals, studied the design of random access games, and analyzed different distributed algorithms to achieve equilibria. Hagelstein et al introduced decode and forward MAC, a scalable opportunistic cooperative retransmission enhancement for the IEEE 802.11 MAC protocol, which operates without the need for additional explicit control signaling. Considering the impact of multirelay link interference on relay selection and dynamic spectrum sharing, Cui et al proposed a fully distributed relay MAC scheme for wireless cooperative networks based on a Stackelberg game framework with only one‐hop local channel state information, where source nodes that have their own information to send act as leader users and where the others act as follower users.…”

Section: Introductionmentioning

confidence: 99%

A vehicle's weight‐based prioritized reciprocity MAC

Lang

Wang

Mei

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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

show abstract

Section: Introductionmentioning

confidence: 99%

A vehicle's weight‐based prioritized reciprocity MAC

Lang

Wang

Mei

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In vertical handover making procedure, some judgment indexes can't express by some accurate pictures, but to use characters to express this index weakness and goodness, it's hard to make accurate handoff decision at present; therefore, it should transform inaccurate information to exact figures of fuzzy theory to widely use in vertical handover judgment procedure. In [12]they expresses vertical handoff judgment decision as a fuzzy and multiple attribute judgment procedure according to traditional MADM,to use fuzzy logic thought to handle inaccurate attribute value and users preference of each accessing network. [13]divides fuzzy multiple-attributed judgment decision into two procedures: the first step is to transform fuzzy data into real number; the second step is to use traditional MADM to carry on judgment order for candidate network.…”

Section: Introductionmentioning

confidence: 99%

Vertical Handoff Algorithm Based On the Improved Joint Vertical Handover

Liu¹,

Tan²,

Zi³

2015

IJFGCN

View full text Add to dashboard Cite

show abstract

“…Retransmission collisions can be significantly reduced by allowing the relay to transmit in a contention-free period [17]. We refer to the relay as a preferred relay, and enable it to immediately retransmit a failed frame in time-slot 0.…”

Section: Proposed Markov Model For Cooperative Retransmissions Ofmentioning

confidence: 99%

“…Confirmed by QualNet simulations, the proposed analytic model is able to accurately evaluate a range of retransmission protocols, including the (non-cooperative) plain 802.11 ARQ [16], CMAC [9], DAFMAC [17], ∆-MAC [3] and PRO [6] retransmission protocols. Potential relay node i may select a specific delay t i [6], [17], or it may randomly decide whether or not to contend for a given slot at the beginning of that slot [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols

Hagelstein

Franklin

Safaei

et al. 2016

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the timeout probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This enables our model to analyse continuous retransmissions of successive frames. Validated by QualNet simulations, our model can analytically predict the probabilities of cooperative retransmissions with an accuracy of +1%. As a result, direct comparisons between cooperative retransmission protocols become tangible, without implementing the full protocol in a state-based simulator. Abstract-Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This enables our model to analyse continuous retransmissions of successive frames. Validated by QualNet simulations, our model can analytically predict the probabilities of cooperative retransmissions with an accuracy of ±1%. As a result, direct comparisons between cooperative retransmission protocols become tangible, without implementing the full protocol in a state-based simulator.

show abstract

Improving fairness in IEEE 802.11 networks using MAC layer opportunistic retransmission

Cited by 8 publications

References 35 publications

A vehicle's weight‐based prioritized reciprocity MAC

A vehicle's weight‐based prioritized reciprocity MAC

Vertical Handoff Algorithm Based On the Improved Joint Vertical Handover

Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols

Contact Info

Product

Resources

About