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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Wireless broadcast with physical-layer network coding. / CUHK electronic theses & dissertations collection

January 2013 (has links)
Feng, Shen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 84-88). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts also in Chinese.
2

Design and performance evaluation of downlink scheduling algorithms for drive-thru internet.

January 2011 (has links)
Hui, Tan Hing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (p. 151-162). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.vi / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Literature Review --- p.7 / Chapter 2.1 --- Background --- p.7 / Chapter 2.1.1 --- "Tools for Analyzing Vehicles' Speeds, Traffic Flows and Densities" --- p.7 / Chapter 2.1.2 --- Tools for Analyzing Bytes Received by the Vehicles from an AP --- p.9 / Chapter 2.1.3 --- Effort-Fairness vs Outcome-Fairness --- p.10 / Chapter 2.1.4 --- Quantifying Fairness on the Bytes Received by the Vehicles from an AP --- p.10 / Chapter 2.2 --- Delay-Tolerant Networks(DTNs) --- p.12 / Chapter 2.3 --- Drive-thru Internet Systems --- p.14 / Chapter 2.4 --- Resource Allocation/Scheduling in Drive-thru Internet and Related Systems --- p.20 / Chapter 2.4.1 --- Resource Allocation/Scheduling Algorithms for Multiple Vehicles --- p.20 / Chapter 2.4.2 --- Rate Adaptation Algorithms for Fast-varying Channels due to Vehicular Movement/Mobility --- p.29 / Chapter 3 --- Performance Evaluation of Round-robin Scheduler with IEEE 802.11 MAC --- p.33 / Chapter 3.1 --- System Model --- p.34 / Chapter 3.2 --- Description of the Real-life Vehicular Traffic Trace --- p.36 / Chapter 3.2.1 --- Analysis on Hourly Single-lane Traffic Flow of 1-80 Highway --- p.40 / Chapter 3.2.2 --- Analysis on Hourly Directional Traffic Flow of 1-80 Highway --- p.43 / Chapter 3.2.3 --- Analysis on Hourly Single-lane Vehicles' Speeds of 1-80 Highway --- p.45 / Chapter 3.2.4 --- Analysis on Daily Vehicles' Speeds of 1-80 Highway --- p.48 / Chapter 3.2.5 --- "Relationship among Average Traffic Densities, Flows and Vehicles' Speeds in Singlelane Scenarios" --- p.51 / Chapter 3.2.6 --- "Relationship among Average Traffic Densities, Flows and Vehicles' Speeds in Multilane Scenarios" --- p.52 / Chapter 3.3 --- Trace-driven Simulations of Drive-thru Internet Scenarios using Round-robin Scheduler with IEEE 802.11 MAC --- p.54 / Chapter 3.3.1 --- Simulation Setup --- p.54 / Chapter 3.3.2 --- Scenarios of using Fixed Data Rate --- p.57 / Chapter 3.3.3 --- Scenario of using Auto-rate Algorithm --- p.67 / Chapter 4 --- The Design and Implementation of VECADS --- p.73 / Chapter 4.1 --- Towards the Design of an Intelligent Scheduling for Drive-thru Internet --- p.74 / Chapter 4.1.1 --- System Throughput Maximization vs Fairness --- p.74 / Chapter 4.1.2 --- Antenna --- p.75 / Chapter 4.1.3 --- Speed --- p.76 / Chapter 4.1.4 --- Noisy Measurement of Predicting Channel Condition based on RSSI(or Similar Metrics) only --- p.77 / Chapter 4.1.5 --- Region for Serving “Weak´ح Vehicles --- p.78 / Chapter 4.2 --- System Model --- p.79 / Chapter 4.3 --- The Design of VECADS --- p.83 / Chapter 4.3.1 --- Using Vehicular Context to Help Scheduling --- p.83 / Chapter 4.3.2 --- Penalizing Slow Vehicles in the Coverage . --- p.88 / Chapter 4.3.3 --- "Round-Robin Scheduling for ""Weak"" Vehicles in the “Sweet Zone´ح" --- p.90 / Chapter 4.3.4 --- Rate Adaptation Algorithm in VEC ADS --- p.94 / Chapter 4.4 --- The Implementation of VECADS --- p.97 / Chapter 4.4.1 --- Overall System Architecture of VECADS --- p.97 / Chapter 4.4.2 --- Overall Scheduling Flow of VECADS --- p.100 / Chapter 4.4.3 --- Algorithms in VECADS --- p.102 / Chapter 5 --- Performance Evaluation of VECADS --- p.110 / Chapter 5.1 --- Simulation Setup --- p.110 / Chapter 5.2 --- Simulation Results and Discussion --- p.114 / Chapter 5.2.1 --- Evaluation of the Performance Impact of Different System Parameters --- p.114 / Chapter 5.2.2 --- Evaluation of Different Design Options --- p.119 / Chapter 6 --- Conclusions and Discussion --- p.142 / Chapter A --- Average Bytes Received by a Moving Vehicle from a Roadside AP --- p.146 / Chapter B --- Distribution of the Cumulative Bytes Received by Vehicles from a Roadside AP --- p.148 / Bibliography --- p.151
3

Energy-efficient reliable wireless sensor networks.

January 2006 (has links)
Zhou Yangfan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 102-112). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.v / Chapter 1 --- Introduction and Background Study --- p.1 / Chapter 1.1 --- Wireless Sensor Networks --- p.1 / Chapter 1.1.1 --- Wireless Integrated Network Sensors --- p.1 / Chapter 1.1.2 --- Main Challenge of In-situ Sensing with Sensor Nodes: Limited Energy Resource --- p.3 / Chapter 1.1.3 --- Networking the Sensor Nodes --- p.4 / Chapter 1.2 --- Applications of Wireless Sensor Networks --- p.4 / Chapter 1.3 --- Characteristics of Wireless Sensor Networks: A Summary --- p.6 / Chapter 1.4 --- Energy-Efficient and Reliable Wireless Sensor Networks --- p.9 / Chapter 2 --- PORT: A Price-Oriented Reliable Transport Protocol --- p.12 / Chapter 2.1 --- Reliable Sensor-to-Sink Data Communications in Wireless Sensor Networks --- p.14 / Chapter 2.2 --- Related Work --- p.17 / Chapter 2.3 --- Protocol Requirements --- p.20 / Chapter 2.4 --- Design Considerations --- p.25 / Chapter 2.4.1 --- The concept of node price --- p.25 / Chapter 2.4.2 --- Link-loss rate estimation --- p.28 / Chapter 2.4.3 --- Routing scheme --- p.29 / Chapter 2.5 --- Protocol Description --- p.31 / Chapter 2.5.1 --- Task initialization --- p.31 / Chapter 2.5.2 --- Feedback of newly desired source reporting rates --- p.32 / Chapter 2.5.3 --- Feedback of wireless communication condition --- p.32 / Chapter 2.5.4 --- Fault tolerance and scalability considerations --- p.33 / Chapter 2.6 --- Protocol Evaluation: A Case Study --- p.34 / Chapter 2.6.1 --- Simulation model --- p.34 / Chapter 2.6.2 --- Energy consumption comparison --- p.36 / Chapter 2.6.3 --- The impact of reporting sensors' uncertainty distribution --- p.39 / Chapter 2.7 --- Conclusion --- p.40 / Chapter 3 --- Setting Up Energy-Efficient Paths --- p.41 / Chapter 3.1 --- Transmitter Power Setting for Energy-Efficient Sensor-to-Sink Data Communications --- p.46 / Chapter 3.1.1 --- "Network, communication, and energy consumption models" --- p.46 / Chapter 3.1.2 --- Transmitter power setting problem for energy-efficient sensor-to-sink data communications --- p.49 / Chapter 3.2 --- Setting Up the Transmitter Power Levels for Sensor-to-Sink Traffic --- p.51 / Chapter 3.2.1 --- BOU: the basic algorithm --- p.52 / Chapter 3.2.2 --- Packet implosion of BOU: the challenge --- p.53 / Chapter 3.2.3 --- Determining the waiting time before broadcasting --- p.56 / Chapter 3.2.4 --- BOU-WA: an approximation approach --- p.60 / Chapter 3.3 --- Simulation Results --- p.62 / Chapter 3.3.1 --- The comparisons of BOU and BOU-WA --- p.63 / Chapter 3.3.2 --- The approximation of BOU-WA --- p.65 / Chapter 3.4 --- Related Work --- p.67 / Chapter 3.5 --- Conclusion Remarks and Future Work --- p.69 / Chapter 4 --- Solving the Sensor-Grouping Problem --- p.71 / Chapter 4.1 --- Introduction --- p.73 / Chapter 4.2 --- The Normalized Minimum Distance i:A Point-Distribution Index --- p.74 / Chapter 4.3 --- The Sensor-Grouping Problem --- p.77 / Chapter 4.3.1 --- Problem Formulation --- p.80 / Chapter 4.3.2 --- A General Sensing Model --- p.81 / Chapter 4.4 --- Maximizing-i Node-Deduction Algorithm for Sensor-Grouping Problem --- p.84 / Chapter 4.4.1 --- Maximizing-i Node-Deduction Algorithm --- p.84 / Chapter 4.4.2 --- Incremental Coverage Quality Algorithm: A Benchmark for MIND --- p.86 / Chapter 4.5 --- Simulation Results --- p.87 / Chapter 4.5.1 --- Number of Groups Formed by MIND and ICQA --- p.88 / Chapter 4.5.2 --- The Performance of the Resulting Groups --- p.89 / Chapter 4.6 --- Conclusion --- p.90 / Chapter 5 --- Conclusion --- p.92 / Chapter A --- List of Research Conducted --- p.96 / Chapter B --- Algorithms in Chapter 3 and Chapter 4 --- p.98 / Bibliography --- p.102
4

Analysis of quality of service (QoS) in WiMAX networks

Unknown Date (has links) (PDF)
In last few years there has been significant growth in the area of wireless communication. Quality of Service (QoS) has become an important consideration for supporting variety of applications that utilize the network resources. These applications include voice over IP, multimedia services, like, video streaming, video conferencing etc. IEEE 802.16/WiMAX is a new network which is designed with quality of service in mind. This thesis focuses on analysis of quality of service as implemented by the WiMAX networks. First, it presents the details of the quality of service architecture in WiMAX network. In the analysis, a WiMAX module developed based on popular network simulator ns-2, is used. Various real life scenarios like voice call, video streaming are setup in the simulation environment. Parameters that indicate quality of service, such as, throughput, packet loss, average jitter and average delay, are analyzed for different types of service flows as defined in WiMAX. Results indicate that better quality of service is achieved by using service flows designed for specific applications. / by Rohit Talwalkar. / Thesis (M.S.)--Florida Atlantic University, 2008. / Includes bibliography. / Electronic reproduction. Boca Raton, FL : 2008 Mode of access: World Wide Web.
5

Power control for video transmission over Wireless mesh networks.

Ochieng, Ojwang Dan. January 2011 (has links)
M. Tech. Electrical Engineering. / Proposes a power control algorithm for video transmission over WMNs. The proposed algorithm is implemented and simulation results compared with those of conventional IEEE 802.11b network.

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