A Decreasing k-means algorithm for the Disk Covering Tour Problem in wireless sensor networks

Jia Jiun Yang, Jehn Ruey Jiang, Yung Liang Lai

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

2 Scopus citations

Abstract

This paper studies a Disk Covering Tour Problem (DCTP) for reducing the energy consumption of a mobile robot's movement to provide services for sensor nodes in a wireless sensor network (WSN). Given a set of locations of sensor nodes and a starting location of mobile robot, the DCTP is to find a minimum cost tour of a sequence of tour stops for the mobile robot to serve sensor nodes by keeping every sensor node within a specified distance of a tour stop. We propose an algorithm, called Decreasing k-means (Dk-means), to find an approximate solution to the DCTP. The idea is to select a minimum number of disks or circles of a fixed radius to cover all sensor nodes, and then to find a minimum cost tour passing all disk centers. The simulation results show the proposed algorithm outperforms the related CSP (Covering Salesman Problem) algorithm and the QiF algorithm.

Original languageEnglish
Title of host publication2014 20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014 - Proceedings
PublisherIEEE Computer Society
Pages906-910
Number of pages5
ISBN (Electronic)9781479976157
DOIs
StatePublished - 2014
Event20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014 - Hsinchu, Taiwan
Duration: 16 Dec 201419 Dec 2014

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2015-April
ISSN (Print)1521-9097

Conference

Conference20th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014
Country/TerritoryTaiwan
CityHsinchu
Period16/12/1419/12/14

Keywords

  • covering salesman problem
  • disk covering problem
  • disk covering tour problem
  • k-means algorithm
  • wireless sensor network

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