Adaptive drone sensing with always return-to-home guaranteed

Yu Te Huang, Hao Hua Chu, Yao Hua Ho, Ling Jyh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we proposed an Adaptive Return-to-Home Sensing (ARS) algorithm for a drone sensing system deployed in an open area with missions to conduct periodic environmental sensing. ARS scheme is able to conduct as many rounds of environmental sensing without drastic oscillation between consecutive sensing attempts while reserve sufficient energy for the drone to fly back home. We evaluate the ARS scheme under environmental difficulties. The results demonstrate the proposed scheme can conduct as many rounds of environmental sensing as possible without drastic oscillation while preserve enough energy for the done to return home.

Original languageEnglish
Title of host publicationSmartObjects 2015 - Proceedings of the 1st International Workshop on Experiences with the Design and Implementation of Smart Objects, co-located with MobiCom 2015
PublisherAssociation for Computing Machinery, Inc
Pages7-12
Number of pages6
ISBN (Electronic)9781450336970
DOIs
Publication statusPublished - 2015 Sept 7
Event1st International Workshop on Experiences with the Design and Implementation of Smart Objects, SmartObjects 2015 - Paris, France
Duration: 2015 Sept 7 → …

Publication series

NameSmartObjects 2015 - Proceedings of the 1st International Workshop on Experiences with the Design and Implementation of Smart Objects, co-located with MobiCom 2015

Other

Other1st International Workshop on Experiences with the Design and Implementation of Smart Objects, SmartObjects 2015
Country/TerritoryFrance
CityParis
Period2015/09/07 → …

Keywords

  • And duty-cycle scheduling
  • Drone
  • Unmanned aerial vehicle

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

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