Ubiquitous computing is weaving itself into the fabric of our age, creating unique opportunities for accessing and sharing information regardless of time and location. Recent development in hardware technology paved the way to small and portable devices such as wireless sensors, PDAs, iPods, and leads to new generation of cell phones with computing capabilities which are called as smartphones. These smart devices enable location-aware applications as well as empower users to generate and access multimedia content anywhere.
Mobility information of cell phone users plays an important role in a wide range of smartphone applications, such as context-based search and advertising, early warning systems, traffic planning, route prediction, and air pollution exposure risk estimation.
However, the mobility information captured in the cell phone is low level data units and can not benefit these applications directly. In this thesis, we investigate the problem of enhancing smartphone applications by providing mobility information at suitable abstraction level. In particular, we adress the following problems: (1) In order to provide high level model of human mobility, we design and implement a complete framework, the Mobility Profiler, for discovering mobility profiles from raw cell based connection data. (2) In order to enable smartphone applications requiring personalized mobility information, we propose TRACK ME: A web based centralized middleware for building smartphone applications leveraging on top of location tracking and mobility profile construction systems. (3) In order to utilize location tracking capability and ubiquitous nature of smartphones for social collaboration, we design and implement a location based crowd-sourced sensing and collaboration system over Twitter. (4) For the developing regions and environment where connectivity occurs intermittently, we apply our findings related to human mobility for improving routing algorithms in Pocket Switched Networks (PSNs). Based on the regularity of human mobility profiles and of intercontact events, we propose PRO routing; mobility profile aware, decentralized, fast (low-delivery-latency) and efficient (low-message-overhead) routing protocol for PSNs.
|Commitee:||Qiao, Chunming, Rudra, Atri|
|School:||State University of New York at Buffalo|
|Department:||Computer Science and Engineering|
|School Location:||United States -- New York|
|Source:||DAI-B 71/11, Dissertation Abstracts International|
|Keywords:||Crowd-sourced sensing, Intercontact events, Location aware, Mobility profiling, Personalized mobility, Smartphone|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be