2008
DOI: 10.1007/978-3-540-89985-3_50
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A Distributed Proxy System for High Speed Clients

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Cited by 3 publications
(2 citation statements)
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“…Hadaller et al [12] showed that since the wireless conditions, including MSs mobility pattern, of a vehicular environment is predictable, and then the vehicular opportunistic access can be greatly improved when exploiting this information in the vehicular environment. In previous work [9] [10] we have focussed on WLAN-based roadside backbone networks. We presented a multi-layer proxy system and accordingly discussed a feed-forward mechanism, which predicts the future vehicle position using a determined vehicle velocity as a key parameter for the estimation of the time a client spends within the WLAN cell and thus the volume of data can be transmitted to that cell.…”
Section: Related Workmentioning
confidence: 99%
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“…Hadaller et al [12] showed that since the wireless conditions, including MSs mobility pattern, of a vehicular environment is predictable, and then the vehicular opportunistic access can be greatly improved when exploiting this information in the vehicular environment. In previous work [9] [10] we have focussed on WLAN-based roadside backbone networks. We presented a multi-layer proxy system and accordingly discussed a feed-forward mechanism, which predicts the future vehicle position using a determined vehicle velocity as a key parameter for the estimation of the time a client spends within the WLAN cell and thus the volume of data can be transmitted to that cell.…”
Section: Related Workmentioning
confidence: 99%
“…Due to the high-speeds have to be supported in vehicular communication networks (VCNs) the most developed solutions for network-related prefetching/preloading are initiated in conjunction with vehicular environments, as to see by Krohn et al [9] [10] as well as Ott and Kutcher [11] concerning cells and islands use cases, respectively. Hadaller et al [12] showed that since the wireless conditions, including MSs mobility pattern, of a vehicular environment is predictable, and then the vehicular opportunistic access can be greatly improved when exploiting this information in the vehicular environment.…”
Section: Related Workmentioning
confidence: 99%