An Anti-Collision Protocol Based on UAV for Internet of Things

Yixin He, Ruonan Zhang, Yi Jiang, Bin Li, Dawei Wang

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

4 Scopus citations

Abstract

In recent years, Internet of Things (IoT) has experienced unprecedented development, and is widely applied in logistics, automatic scheduling and other domains. In various IoT applications, radio frequency identification (RFID) is the center of attention in the past few years. Similar to other wireless devices, RFID tags are confronted with the acute problem of collision, which will fact affects the system efficiency of IoT. In this paper, we propose a novel anti-collision algorithm for IoT, named UAV-based multiple tags anti-collision protocol (UMTAP). UMTAP protocol uses the UAV-based reader to identify multifrequency tags with optimal system efficiency which can effectively solve the tag collision problem for dense IoT environments. The simulation results demonstrate that UMTAP has better performance than the existing algorithms with respect to system efficiency and identification time.

Original languageEnglish
Title of host publication2019 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728135557
DOIs
StatePublished - Oct 2019
Event11th International Conference on Wireless Communications and Signal Processing, WCSP 2019 - Xi'an, China
Duration: 23 Oct 201925 Oct 2019

Publication series

Name2019 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019

Conference

Conference11th International Conference on Wireless Communications and Signal Processing, WCSP 2019
Country/TerritoryChina
CityXi'an
Period23/10/1925/10/19

Keywords

  • Anti-collision protocol
  • internet of things (IoT)
  • radio frequency identification (RFID)
  • unmanned aerial vehicle (UAV)

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