Performance analysis of CSMA/CA protocols with multi-packet transmission

Bellalta, Boris; Faridi, Azadeh; Staehle, Dirk; Barceló, Jaume; Vinel, Alexey; Oliver, Miquel

doi:10.1016/j.comnet.2013.05.009

Cited by 13 publications

(12 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…on the system performance, or coupled with other link-layer mechanisms for the evaluation of more complex systems. For example, it can be easily combined with a model of the Distributed Coordination Function (DCF) [21,22] to evaluate the performance in non-saturation conditions of the upcoming IEEE 802.11ac amendment [23], that will support Multiuser MPT by using spatial multiplexing.…”

Section: Discussionmentioning

confidence: 99%

Performance analysis of a Multiuser Multi-Packet Transmission system for WLANs in non-saturation conditions

et al. 2014

View full text Add to dashboard Cite

Multiuser Multi-Packet Transmission (MPT) from an Access Point (AP) equipped with multiple antennas to multiple single-antenna nodes can be achieved by exploiting the spatial dimension of the channel. In this paper we present a queueing model to analytically study such systems from the link-layer perspective, in presence of random packet arrivals, heterogeneous channel conditions and packet errors. The analysis relies on a blind estimation of the number of different destinations among the packets waiting in the queue, which allows for building a simple, but general model for MPT systems with per-node First-In First-Out (FIFO) packet scheduling. Simulation results validate the accuracy of the analytical model and provide further insights on the cross-relations between the channel state, the number of antennas, and the number of active users, as well as how they affect the system performance. The simplicity and accuracy of the model makes it suitable for the evaluation of Medium Access Control (MAC) protocols for AdHoc or Wireless Local Area Networks supporting multiuser MPT in non-saturation conditions, where the queueing dynamics play an important role on the achieved performance, and simple user selection algorithms are required.

show abstract

Section: Discussionmentioning

confidence: 99%

Performance analysis of a Multiuser Multi-Packet Transmission system for WLANs in non-saturation conditions

et al. 2014

View full text Add to dashboard Cite

show abstract

“…And collect the data from the rest of the nodes. Average end-to-end delay as a function of node density refer figure (3). Performance of the FMAC is drastically better and constant for average end-to-end delay.…”

Section: Algorithm: Federated Mac (Fmac)mentioning

confidence: 93%

“…Average throughput, latency and collision probability should be improved varying node density. [3] III. PROPOSED WORK…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Performance analysis of FMAC in wireless sensor networks

Deshpande¹,

Waghole²

2014

2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN)

View full text Add to dashboard Cite

The set of different sensor nodes randomly deployed in sensor area to capture the environmental changes. Sensor nodes are working with specific routing and MAC Protocols in the network. Performance of the network is depends upon the network traffic and congestion in the network. Throughput, latency, loss ratio, delivery ratio, energy consumption, reliability are the QoS of the sensor network that has to considered for performance of WSN. In this paper performance of the different MAC protocols like CSMA, TDMA, 802.15.4 and FMAC for different node density is included. Effect of traffic and congestion on performance of the network is also tested. Behavior of different MAC for heavy traffic load and congestion is checked. Results are taken using NS2 simulation tool for various QoS in WSN.

show abstract

“…In the analytical domain, one of the tools gaining importance is batch service queuing [15], [16], whereby packets leave the queue in batches, rather than individually. The batch property of these kinds of queues intuitively captures the BC idea of chains of blocks and has been already used to model the behavior of multiple technologies in communications [17] [18] [19].…”

Section: Characterization Of Blockchain: Related Workmentioning

confidence: 99%

Discrete-Time Analysis of Wireless Blockchain Networks

Wilhelmi¹,

Giupponi²

2021

Preprint

View full text Add to dashboard Cite

Blockchain (BC) technology can revolutionize future networks by providing a distributed, secure, and unalterable way to boost collaboration among operators, users, and other stakeholders. Its implementations have traditionally been supported by wired communications, with performance indicators like the high latency introduced by the BC being one of the key technology drawbacks. However, when applied to wireless communications, the performance of BC remains unknown, especially if running over contention-based networks. In this paper, we evaluate the latency performance of BC technology when the supporting communication platform is wireless, specifically we focus on IEEE 802.11ax, for the use case of users' radio resource provisioning. For that purpose, we propose a discrete-time Markov model to capture the expected delay incurred by the BC. Unlike other models in the literature, we consider the effect that timers and forks have on the end-to-end latency.

show abstract

Performance analysis of CSMA/CA protocols with multi-packet transmission

Cited by 13 publications

References 18 publications

Performance analysis of a Multiuser Multi-Packet Transmission system for WLANs in non-saturation conditions

Performance analysis of a Multiuser Multi-Packet Transmission system for WLANs in non-saturation conditions

Performance analysis of FMAC in wireless sensor networks

Discrete-Time Analysis of Wireless Blockchain Networks

Contact Info

Product

Resources

About