Drone-Hosted Computation for Emergency Response

Otto B. Piramuthu, Matthew Caesar

Research output: Contribution to journalArticlepeer-review

Abstract

—Ad hoc computing needs at remote locations or locations with insufficient resources due to reasons such as natural disasters require flexible solutions that are readily deployed on demand. We consider one such scenario where unmanned aerial vehicles (UAVs) or drones can be used to provide necessary coverage in terms of computational support. Specifically, we consider an environment where ground-based computational demand is satisfied by aerial drones that share the computational load to provide seamless service. We study transfer and location policies where transfer policy determines whether a job is locally processed by the drone that receives the order and location policy determines where a job is processed if it is sent to another drone. Our results indicate that the mean queue length of jobs waiting to be processed at the drones decreases with sharing the job processing load among the drones in the modeled system. Our results also highlight the beneficial aspects of the two step transfer and location policies.

Original languageEnglish (US)
Pages (from-to)20408-20414
Number of pages7
JournalIEEE Internet of Things Journal
Volume10
Issue number23
DOIs
StatePublished - Dec 1 2023

Keywords

  • Load sharing
  • location policy
  • transfer policy
  • unmanned aerial vehicle (UAV)

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Drone-Hosted Computation for Emergency Response'. Together they form a unique fingerprint.

Cite this