Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/423822
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dc.coverage.spatial
dc.date.accessioned2022-12-09T10:49:34Z-
dc.date.available2022-12-09T10:49:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/423822-
dc.description.abstractUnmanned 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.
dc.format.extent143p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEfficient Location Aware Protocol for Multi UAV Networks
dc.title.alternative
dc.creator.researcherVashist, Sahil
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.subject.keywordNetwork File System (Computer network protocol)
dc.description.note
dc.contributor.guideJain, Sushma
dc.publisher.placePatiala
dc.publisher.universityThapar Institute of Engineering and Technology
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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01_title.pdfAttached File85.59 kBAdobe PDFView/Open
02_prelim pages.pdf351.48 kBAdobe PDFView/Open
03_content.pdf75.34 kBAdobe PDFView/Open
04_abstract.pdf63.8 kBAdobe PDFView/Open
05_chapter 1.pdf2.45 MBAdobe PDFView/Open
06_chapter 2.pdf239.92 kBAdobe PDFView/Open
07_chapter 3.pdf1.01 MBAdobe PDFView/Open
08_chapter 4.pdf1.67 MBAdobe PDFView/Open
09_chapter 5.pdf703.61 kBAdobe PDFView/Open
10_chapter 6.pdf94.98 kBAdobe PDFView/Open
11_annexures.pdf170.21 kBAdobe PDFView/Open
80_recommendation.pdf130.25 kBAdobe PDFView/Open


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