SAN: Self-adaptive navigation for drone battery charging in wireless drone networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

This paper introduces an optimal path finding problem for drone battery charging where their batteries should be charged for the travel from a source to a destination as needed. We present a practically reasonable heuristic to solve the problem by monitoring drones' battery status and traffic conditions in real time through a cloud-based service called traffic control center. This study will be the cornerstone of path finding problems for drone battery charging in drone networks.

Original languageEnglish
Title of host publicationProceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
EditorsAntonio J. Jara, Makoto Takizawa, Yann Bocchi, Leonard Barolli, Tomoya Enokido
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-251
Number of pages4
ISBN (Electronic)9781509018574
DOIs
StatePublished - 17 May 2016
Event30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 - Crans-Montana, Switzerland
Duration: 23 Mar 201625 Mar 2016

Publication series

NameProceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016

Conference

Conference30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
Country/TerritorySwitzerland
CityCrans-Montana
Period23/03/1625/03/16

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