An Overview of WLAN Performance, Some Important Case-Scenarios and Their Associated Models

Larroca, Federico; Rodríguez, Felipe

doi:10.1007/s11277-014-1846-4

Cited by 10 publications

(3 citation statements)

References 110 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lödding et al, 2003;Silver, 2004;Bahtiyar, 2005;Lee et al, 2011;Ward, 2014;Cárdenas Duarte et al, 2017). There is a general belief that simplified models may provide approximate or less accurate outcomes (Larroca and Rodríguez, 2014;Nwodo and Okoro, 2015) or users may find them unrealistic or not credible (Brooks and Tobias, 1996). Using simplified models can affect the clients' perception of model validity and more specifically it may affect their credibility in using the model and its outcomes as they may consider the model to be inadequate or plainly wrong.…”

Section: Introductionmentioning

confidence: 99%

Can we learn from simplified simulation models? An experimental study on user learning

Tako

Tsioptsias

Robinson

2020

Journal of Simulation

View full text Add to dashboard Cite

Simple models are considered useful, especially in supporting a group of stakeholders to consider options and identify solutions to their problems in facilitated modelling workshops. This paper describes an experimental study that investigates whether the level of model detail affects users' learning. More specifically we aim to establish whether the learning achieved when using a simplified versus a more complex simulation model, differs. Our subjects, undergraduate students, were asked to solve a resource utilization task for an ambulance service problem. The participants worked in groups under three different conditions based on the type of simulation model used (specifically a simple, adequate or no model at all) to support their analysis and to reach conclusions about the action to be taken. A before and after questionnaire and a group presentation capture the participants' individual and group attitudes towards the solution. Our results suggest that differences in learning from using the two different models were not significant, while simple model users demonstrated a better understanding of the problem. The outcomes and implications of our findings are discussed, alongside the limitations and future work.

show abstract

Section: Introductionmentioning

confidence: 99%

Can we learn from simplified simulation models? An experimental study on user learning

Tako

Tsioptsias

Robinson

2020

Journal of Simulation

View full text Add to dashboard Cite

show abstract

“…A representative mechanism of MAC is the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) algorithm that forms the basis of the dominant wireless multiple access protocol Distributed Coordination Function (DCF) in 802.11 (Kurth and Redlich 2009). Physically a channel is sensed busy either when the detected energy level is above a certain threshold ζED, when a signal with the same PHY characteristics is detected, or a combination of both (Larroca and Rodríguez 2014).…”

Section: Introductionmentioning

confidence: 99%

Capture Aware Channel Access Protocol in Wireless Network

Mustafa

2018

Jou. Eng. Res.

View full text Add to dashboard Cite

Spatial reuse in wireless networks is limited by the SINR threshold and it might be feasible to capture a packet in the presence of ongoing foreign transmission. This work considers a new capture aware channel access protocol by incorporating global channel state information in the decision making process for the channel access jointly with adaptive power framework. The protocol employs power heterogeneous ad-hoc networks; it assigns different transmission power level to individual nodes based on dynamic observation of the network traffic. It exploits spatial heterogeneity of flows at a given channel allocation and sets up either symmetric or asymmetric carrier sensing which in turn schedules the data packets transmission to maintain adequate service quality and fairness enjoyed by a user. It stands atop capture capable PHY to leverage the channel reuse which is of paramount importance in the design of high capacity ad-hoc networks. Through extensive simulations, the paper demonstrates the efficacy of the new protocol. It delivers high network utilization and also provides fair access to the media.

show abstract

“…In this network, a Medium Access Control (MAC) mechanism based on 802.11's Distributed Coordination Function (DCF) [2] is in place to allow nodes to effectively share the medium. Since every node may be either receiver or transmitter indistinctly, the hidden node problem will probably degrade the network's performance if unattended [3]. The typical way of dealing with this problem is to use the RTS/CTS four-way handshake.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Transmission Probability in Wireless Networks with Configuration Models

Bermolen

Jonckheere

Larroca

et al. 2016

ACM Trans. Model. Perform. Eval. Comput. Syst.

Self Cite

View full text Add to dashboard Cite

We propose a new methodology to estimate the spatial reuse of CSMA-like scheduling. Instead of focusing on spatial configurations of users, we model the interferences between users as a random graph. Using configuration models for random graphs, we show how the properties of the medium access mechanism are captured by some deterministic differential equations, when the size of the graph gets large. Performance indicators such as the probability of connection of a given node can then be efficiently computed from these equations. We also perform simulations to illustrate the results on different types of random graphs. Even on spatial structures, these estimates get very accurate as soon as the variance of the interference is not negligible.

show abstract

An Overview of WLAN Performance, Some Important Case-Scenarios and Their Associated Models

Cited by 10 publications

References 110 publications

Can we learn from simplified simulation models? An experimental study on user learning

Can we learn from simplified simulation models? An experimental study on user learning

Capture Aware Channel Access Protocol in Wireless Network

Estimating the Transmission Probability in Wireless Networks with Configuration Models

Contact Info

Product

Resources

About