An improved DV-hop localization algorithm based on centroid multilateration

Jing Wang, Anqi Hou, Yuanfei Tu

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

4 Scopus citations

Abstract

Localization has been a fundamental service for Wireless Sensor Network (WSN) based applications. Among all localization technologies, the Distance Vector-Hop (DV-Hop) algorithm is one of the most popular algorithm because it is easy to implement. It simply utilizes the hop counts as connectivity measurements, but this often brings big errors. In this paper, we propose an improved DV-Hop scheme in which a centroid multilateration method is presented to solve the inconsistent problem of multilateration in the original DV-Hop localization scheme. Our algorithm can effectively improve the accuracy while maintaining low computational complexity. Experiments are conducted on two different network topologies and the simulation results show that our scheme out-performs related algorithms in accuracy and communicational cost.

Original languageEnglish
Title of host publicationProceedings of the ACM Turing Celebration Conference - China, ACM TURC 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371582
DOIs
StatePublished - 17 May 2019
Event2019 ACM Turing Celebration Conference - China, ACM TURC 2019 - Chengdu, China
Duration: 17 May 201919 May 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 ACM Turing Celebration Conference - China, ACM TURC 2019
Country/TerritoryChina
CityChengdu
Period17/05/1919/05/19

Keywords

  • DV-Hop algorithm
  • Range-free localization
  • Wireless sensor network

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