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An adaptive WiFi rate selection algorithm for moving vehicles with motion prediction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the proliferation of Wi-Fi devices, many cities have been covered by Wi-Fi network; it is increasingly important for people in moving vehicles to be able to access the Internet using Wi-Fi devices. Since the signal strength varies dramatically for WiFi devices in moving Vehicles, it is necessary for the data-rate of Wi-Fi devices to be adjusted dynamically. In this paper, we propose an Adaptive Wi-Fi Data-rate Selection (AWDS) algorithm based on motion predication. By detecting the signal strength of APs, Wi-Fi devices on the move are able to predicate the motion model of vehicles, and to select data rate of Wi-Fi devices accordingly. In this way, Wi-Fi rate selection will be more consistent with its wireless surroundings in the future period of time. Experiment results demonstrate that the AWDS algorithm outperforms the rate selection algorithm built in Android G1.

Original languageEnglish
Title of host publicationFuture Information Technology - 6th International Conference, FutureTech 2011, Proceedings
Pages85-92
Number of pages8
EditionPART 1
DOIs
StatePublished - 2011
Event6th International Conference on Future Information Technology, FutureTech 2011 - Loutraki, Greece
Duration: 28 Jun 201130 Jun 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume184 CCIS
ISSN (Print)1865-0929

Conference

Conference6th International Conference on Future Information Technology, FutureTech 2011
Country/TerritoryGreece
CityLoutraki
Period28/06/1130/06/11

Keywords

  • Mobility Prediction
  • Rate Selection
  • Signal Strength
  • Vehicle-mounted WiFi devices

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