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Charge me if you Can: Charging path optimization and scheduling in mobile networks

  • Univ. Paris-Sud
  • Stony Brook University

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

51 Scopus citations

Abstract

We study a class of generic optimization problems on charger scheduling and charging path planing. These problems arise from emerging networking applications where mobile chargers are dispatched to deliver energy to mobile agents (e.g., robots, drones, and vehicles), which have specified tasks and mobility patterns. We instantiate our work by focusing on finding the charging path maximizing the number of nodes charged within a fixed time horizon. We prove that this problem is APX-hard. By recursively decomposing the problem into sub-problems of searching sub-paths, we design a quasi-polynomial time algorithm that achieves poly-logarithmic approximation to the optimum charging path. Our approximation algorithm can be further adapted and extended to solve a variety of charging path optimization and scheduling problems with realistic constraints, such as limited time and energy budget.

Original languageEnglish
Title of host publicationMobiHoc 2016 - Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing
PublisherAssociation for Computing Machinery
Pages101-110
Number of pages10
ISBN (Electronic)9781450341844
DOIs
StatePublished - Jul 5 2016
Event17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2016 - Paderborn, Germany
Duration: Jul 5 2016Jul 8 2016

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
Volume05-08-July-2016

Conference

Conference17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2016
Country/TerritoryGermany
CityPaderborn
Period07/5/1607/8/16

Keywords

  • Approximation algorithm
  • Mobile charger scheduling
  • Mobile wireless networks

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