Priority-Based Data Transmission in Wireless Networks using Network Coding
Genre
Thesis/DissertationDate
2015Author
Ostovari, PouyaAdvisor
Wu, Jie, 1961-Committee member
Ji, Bo, 1982-Srinivasan, Avinash
Bai, Li
Department
Computer and Information ScienceSubject
Computer ScienceNetwork Coding
Performance Evaluation
Triangular Network Coding
Unequal Data Protection
Wireless Networks
Permanent link to this record
http://hdl.handle.net/20.500.12613/3369Metadata
Show full item recordDOI
http://dx.doi.org/10.34944/dspace/3351Abstract
With the rapid development of mobile devices technology, they are becoming very popular and a part of our everyday lives. These devices, which are equipped with wireless radios, such as cellular and WiFi radios, affect almost every aspect of our lives. People use smartphone and tablets to access the Internet, watch videos, chat with their friends, and etc. The wireless connections that these devices provide is more convenient than the wired connections. However, there are two main challenges in wireless networks: error-prone wireless links and network resources limitation. Network coding is widely used to provide reliable data transmission and to use the network resources efficiently. Network coding is a technique in which the original packets are mixed together using algebraic operations. In this dissertation, we study the applications of network coding in making the wireless transmissions robust against transmission errors and in efficient resource management. In many types of data, the importance of different parts of the data are different. For instance, in the case of numeric data, the importance of the data decreases from the most significant to the least significant bit. Also, in multi-layer videos, the importance of the packets in different layers of the videos are not the same. We propose novel data transmission methods in wireless networks that considers the unequal importance of the different parts of the data. In order to provide robust data transmissions and use the limited resources efficiently, we use random linear network coding technique, which is a type of network coding. In the first part of this dissertation, we study the application of network coding in resource management. In order to use the the limited storage of cache nodes efficiently, we propose to use triangular network coding for content distribution. We also design a scalable video-on-demand system, which uses helper nodes and network coding to provide users with their desired video quality. In the second part, we investigate the application of network coding in providing robust wireless transmissions. We propose symbol-level network coding, in which each packet is partitioned to symbols with different importance. We also propose a method that uses network coding to make multi-layer videos robust against transmission errors.ADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.eduCollections
Related items
Showing items related by title, author, creator and subject.
-
An adaptive network coding scheme for multipath transmission in cellular-based vehicular networks© 2020 by the authors. Licensee MDPI, Basel, Switzerland. With the emergence of vehicular Internet-of-Things (IoT) applications, it is a significant challenge for vehicular IoT systems to obtain higher throughput in vehicle-to-cloud multipath transmission. Network Coding (NC) has been recognized as a promising paradigm for improving vehicular wireless network throughput by reducing packet loss in transmission. However, existing researches on NC do not consider the influence of the rapid quality change of wireless links on NC schemes, which poses a great challenge to dynamically adjust the coding rate according to the variation of link quality in vehicle-to-cloud multipath transmission in order to avoid consuming unnecessary bandwidth resources and to increase network throughput. Therefore, we propose an Adaptive Network Coding (ANC) scheme brought by the novel integration of the Hidden Markov Model (HMM) into the NC scheme to efficiently adjust the coding rate according to the estimated packet loss rate (PLR). The ANC scheme conquers the rapid change of wireless link quality to obtain the utmost throughput and reduce the packet loss in transmission. In terms of the throughput performance, the simulations and real experiment results show that the ANC scheme outperforms state-of-the-art NC schemes for vehicular wireless multipath transmission in vehicular IoT systems.
-
A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing and co-channel interference (CCI) mitigation. In this paper, we propose a joint channel selection and power adaptation scheme for the underlay cognitive radio network (CRN), maximizing the data rate of all secondary users (SUs) while guaranteeing the quality of service (QoS) of primary users (PUs). To exploit the underlying topology of CRNs, we model the communication network as dynamic graphs, and the random walk is used to imitate the users’ movements. Considering the lack of accurate channel state information (CSI), we use the user distance distribution contained in the graph to estimate CSI. Moreover, the graph convolutional network (GCN) is employed to extract the crucial interference features. Further, an end-to-end learning model is designed to implement the following resource allocation task to avoid the split with mismatched features and tasks. Finally, the deep reinforcement learning (DRL) framework is adopted for model learning, to explore the optimal resource allocation strategy. The simulation results verify the feasibility and convergence of the proposed scheme, and prove that its performance is significantly improved.
-
Positions of Authority And Influence In Environmental Nongovernmental Organizations' Networks: An Examination of Network Structure and Participation at UN Climate Change SummitsWhich environmental non-governmental organizations (ENGOs) are positioned to be the most influential in climate negotiations? The structure of the environmental movement has undergone significant change over the development of the United Nations Framework Convention on Climate Change (UNFCCC). Since its inception there has been significant engagement by ENGOs with the yearly Conference of the Parties (COPs). In this tripartite project, I use an original dataset of relationship ties between ENGOs to construct a series of networks using social network analysis. Specifically, I examine network structures prior to three watershed moments in the history of the UNFCCC, the Kyoto, Copenhagen, and Paris COPs. Based on social network theory, an ENGO’s structural position can be viewed as a reflection of an ENGO’s perceived power, authority, and influence. I also study ENGO participation at COPs at these three distinct time points. In part one of this project, I describe how the structure of the environmental movement has changed over time in conjunction with the perceived success and failures of the UNFCCC process, leading to a bifurcated environmental movement. Additionally, I find that the ENGOs occupying central positions may have greater influence than other less central ENGOs, because they are more likely to serve on state delegations at the UNFCCC. In part two, I examine the role of alliance-based organizations in the larger environmental movement. Specifically, I describe how the ENGO network structure between alliance, policy and science-based organizations has changed over the history of the UNFCCC. The results suggest that alliance-based organizations occupy pivotal positions within the network, showing the potential for alliance-based organizations to help facilitate the representation of diverse viewpoints at international negotiations. In part three, I examine the relationships between ENGOs and human-centric organizations at the three distinct time points and find that despite an increased presence of ENGOs connected to human-centric organizations at the yearly COPs over time, there is still very little interconnectedness between these two movements. I also examine regions with the most ENGO/human-centric organizational connections and find Euro-centric dominance. In general, this is discussed as a missed opportunity. These findings have far reaching implications for the prospects of the UNFCCC developing, and states adopting, effective climate change policy that has the support of the environmental movement.
