nanoll extt
Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4674
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPrakhar
dc.contributor.authorBudhiraja, Ishan
dc.contributor.authorSingh, Akansha
dc.date.accessioned2024-05-30T11:40:05Z-
dc.date.available2024-05-30T11:40:05Z-
dc.date.issued2023
dc.identifier.issn978-93-82206-45-3
dc.identifier.urihttp://lrcdrs.bennett.edu.in:80/handle/123456789/4674-
dc.description.abstractThe ever-increasing amount of Internet of Things (IoT) devices, along with increasing requirements for real-time data analyzing, has given rise to Mobile Edge Computing (MEC), a possible solution. MEC operates by moving processing workloads from resource-constrained IoT devices to ad- jacent edge servers, allowing for speedier analysis of information. However, the resource utilization of these edge servers represents a major concern, particularly in regional or dynamic environments. This is where Unmanned Aerial Vehicles (UAVs) join in. Because of their flexibility and agility, UAVs have become as viable drivers for servers located far away, providing a novel approach to enhance the current structure. This chapter explores the intriguing possibility of UAVs in improving energy utilization in MEC environments. It begins by looking at the principles of MEC and the issues related with energy usage in edge nodes. It then delves into the ideas of UAV-assisted MEC, putting light on UAVs' distinct benefits, including as flexibility, dexterity, and immediately deployment.en_US
dc.publisherRawat Prakashanen_US
dc.subjectEnergy-Efficient UAV-Assisteden_US
dc.titleEnergy-Efficient UAV-Assisted Mobile Edge Computingen_US
dc.typeBook Chapteren_US
Appears in Collections:Book Chapters_ SCSET

Files in This Item:
File SizeFormat 
Ch_24_978-93-82206-45-3.pdf
  Restricted Access
3.25 MBAdobe PDFView/Open Request a copy

Contact admin for Full-Text

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.