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Adaptive Mobility-Assisted Data Dissemination in Mobile Disaster/Recovery Environments
Vu, Long; Nahrstedt, Klara
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https://hdl.handle.net/2142/11341
Description
- Title
- Adaptive Mobility-Assisted Data Dissemination in Mobile Disaster/Recovery Environments
- Author(s)
- Vu, Long
- Nahrstedt, Klara
- Issue Date
- 2007-06
- Keyword(s)
- mobile ad hoc networks
- ad hoc networks
- wireless networks
- Abstract
- Efficient information dissemination over Mobile Ad hoc Networks (MANET) for urban Disaster/Recovery (D/R) missions is emerging as a very challenging and important research problem. In this paper, we present an adaptive mobility-assisted data dissemination framework as a solution for Disaster/Recovery mission. Our novel framework is based on .Importance Score. of D/R messages to: (1) optimize the number of disseminations due to the bandwidth limitation in MANET, and (2) discard invalid D/R messages due to memory space limitation on mobile devices. The corresponding .Importance Score. function ranks D/R messages according to metrics that obtain maximal area coverage and minimal delay in D/R dissemination. Once the D/R messages are ranked, our adaptive mobility-assisted data dissemination protocol broadcasts top k, tuning broadcast period according to network condition. To ensure performance efficiency, we estimate times-to-send (TTS) to limit unnecessary transmissions. Our experimental results show that the presented framework with corresponding algorithms and protocols efficiently utilize network bandwidth and node memory space, while achieving information coverage and delay objectives.
- Type of Resource
- text
- Permalink
- http://hdl.handle.net/2142/11341
- Copyright and License Information
- You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
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