Green Elevator Scheduling Based on IoT Communications

Lan-Da Van*, Yi-Bing Lin, Tsung Han Wu, Tzu-Hsiang Chao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this paper, we propose an energy-saving elevator scheduling algorithm to reduce the car moving steps to achieve motor energy saving and green wireless communications. The proposed algorithm consisting of six procedures can attain fewer Internet of Things (IoT) message exchanges (i.e. communication transmissions) between the Scheduler subsystem and the Car subsystem via the core function AssignCar( $r$ ). The function AssignCar( $r$ ) is capable of assigning a request to the nearest car through car search globally. From the emulation results for four cars, this work shows that the proposed algorithm outperforms the previous work named as aggressive car scheduling with initial car distribution (ACSICD) algorithm with energy consumption reductions by 49.43%, 47.68%, 37.89%, and 47.65% for up-peak, inter-floor, down-peak, and all-day request patterns, respectively.

Original languageEnglish
Article number9005228
Pages (from-to)38404-38415
Number of pages12
JournalIEEE Access
Volume8
DOIs
StatePublished - 20 Feb 2020

Keywords

  • Car moving step
  • car scheduling
  • communication transmissions
  • elevator system
  • energy saving
  • green communications
  • internet of things (IoT)
  • sensor
  • waiting/journey time

Fingerprint Dive into the research topics of 'Green Elevator Scheduling Based on IoT Communications'. Together they form a unique fingerprint.

Cite this