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Stochastic Analysis of Variation in Disruption with Changing Traffic Patterns in IEEE 802.11-Based Networks

Authors
Hasan, SF[Hasan, Syed Faraz]Siddique, NH[Siddique, Nazmul H.]Chakraborty, S[Chakraborty, Shyam]
Issue Date
Jul-2014
Publisher
INST INFORMATION SCIENCE
Keywords
vehicular communication; 802.11 WLANs; Stochastic modeling; disruption; hidden Markov model
Citation
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, v.30, no.4, pp.1261 - 1273
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Volume
30
Number
4
Start Page
1261
End Page
1273
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/52451
ISSN
1016-2364
Abstract
The idea of using indoor WLAN Access Points from vehicles has been explored in various previous works. Since WLANs are not inherently designed to support high mobility applications, they introduce frequent disruptions in the network services when used in vehicular environments. The objective of this paper is to investigate whether the vehicular traffic patterns affect this undesired disruption in WLAN-based vehicular communication. Stochastic models are first developed to describe connectivity conditions in normal and dense traffic conditions based on experimental data. Hidden Markov model techniques measure the variations in estimated disruption with changing traffic conditions.
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