Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/423822
Title: | Efficient Location Aware Protocol for Multi UAV Networks |
Researcher: | Vashist, Sahil |
Guide(s): | Jain, Sushma |
Keywords: | Computer Science Computer Science Hardware and Architecture Engineering and Technology Network File System (Computer network protocol) |
University: | Thapar Institute of Engineering and Technology |
Completed Date: | 2020 |
Abstract: | Unmanned aerial vehicles (UAVs), generally known as drones, have gained considerable attention from the research community and business organizations over the past few years. Indeed, UAVs are being widely deployed to provide on-demand wireless coverage in extreme conditions such as disaster-prone areas and delivery of essential products such as medicines and food during rescue operations. For this purpose, multiple UAVs can form a web of drones, geo-distributed across a large coverage area to perform ad hoc and distributed operations quickly and cost-eand#8629;ectively. The UAVs can also collaborate and coordinate with other cutting edge technologies such as Software Defined Networking (SDN), Internet of Things (IoT) and Blockchain to realization various futuristic on-demand consumer applications and service across the smart city. The popular UAV-based applications can be categorized into domains like UAV-assisted data relaying, UAV-assisted monitoring and data collection and UAV-assisted product delivery. Despite various advantages of using UAVs, there are associated challenges while utilizing them in on-demand applications. The key challenges are deployment, data oand#9999;oading and bandwidth, power consumption, energy efficiency, accuracy, latency etc. Thus, it is consequential to formalize an efficient solution, which can provide sustainable connectivity in drone networks with efficient control as well as provisioning of the high Quality of Service (QoS). So, far the drone to drone and drone to ground communication, the work is presented on four major challenges: (i) collision (ii) network congestion (iii) energy consumption (iv) location-aware and Quality of Service (QoS) (v) energy optimization of UAVs at the time of charging, discharging, iii iv and information transmission. To resolve the above mentioned challenges, the task has been accomplished in this research work with three diand#8629;erent approaches. |
Pagination: | 143p. |
URI: | http://hdl.handle.net/10603/423822 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 85.59 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 351.48 kB | Adobe PDF | View/Open | |
03_content.pdf | 75.34 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 63.8 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 2.45 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 239.92 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.01 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.67 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 703.61 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 94.98 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 170.21 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 130.25 kB | Adobe PDF | View/Open |
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