Networking of UAVs Using 802.11s (open access)

Networking of UAVs Using 802.11s

The thesis simulates the problem of network connectivity that occurs due to the dynamic nature of a network during flight. Nine nodes are provided with initial positions and are flown based on the path provided by leader-follower control algorithm using the server-client model. The application layer provides a point to point connection between the server and client and by using socket programming in the transport layer, a server and clients are established. Each node performs a neighbor discovery to discover its neighbors in the data link layer and physical layer performs the CSMA/CA using RTS/CTS. Finally, multi hop routing is achieved in network layer. Each client connects with server at dedicated interval to share each other location and then moves to next location. This process is continued over a period of several iterations until the relative distance is achieved. The constraints and limitations of the technology are network connectivity is lack of flexibility for random location of nodes, links established with a distant node having single neighbor is unstable. Performance of a system decreases with increase in number of nodes.
Date: May 2019
Creator: Polumuru, Pushpa
System: The UNT Digital Library

Parallel Analysis of Aspect-Based Sentiment Summarization from Online Big-Data

Access: Use of this item is restricted to the UNT Community
Consumer's opinions and sentiments on products can reflect the performance of products in general or in various aspects. Analyzing these data is becoming feasible, considering the availability of immense data and the power of natural language processing. However, retailers have not taken full advantage of online comments. This work is dedicated to a solution for automatically analyzing and summarizing these valuable data at both product and category levels. In this research, a system was developed to retrieve and analyze extensive data from public online resources. A parallel framework was created to make this system extensible and efficient. In this framework, a star topological network was adopted in which each computing unit was assigned to retrieve a fraction of data and to assess sentiment. Finally, the preprocessed data were collected and summarized by the central machine which generates the final result that can be rendered through a web interface. The system was designed to have sound performance, robustness, manageability, extensibility, and accuracy.
Date: May 2019
Creator: Wei, Jinliang
System: The UNT Digital Library