Weighted localized clustering: A coverage-a ware reader collision arbitration protocol in RFID networks

Joongheon Kim, Wonjun Lee, Jaewon Jung, Jihoon Choi, Eunkyo Kim, Joonmo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This paper addresses a weighted localized scheme and its application to the hierarchical clustering architecture, which results in reduced overlapping areas of clusters. Our previous proposed scheme, Low-Energy Localized Clustering (LLC), dynamically regulates the radius of each cluster for minimizing energy consumption of cluster heads (CHs) while the entire network field is still being covered by each cluster in sensor networks. We present weighted Low-Energy Localized Clustering (w-LLC), which has better efficiency than LLC by assigning weight functions to each CH. Drew on the w-LLC scheme, weighted Localized Clustering for RFID networks (w-LCR) addresses a coverage-aware reader collision arbitration protocol as an application. w-LCR is a protocol that minimizes collisions by minimizing overlapping areas of clusters.

Original languageEnglish
Title of host publicationEmbedded Software and Systems
Subtitle of host publicationSecond International Conference, ICESS 2005, Proceedings
PublisherSpringer Verlag
Pages542-553
Number of pages12
ISBN (Print)3540308814, 9783540308812
DOIs
Publication statusPublished - 2005
Event2nd International Conference on Embedded Software and Systems, ICESS 2005 - Xi'an, China
Duration: 2005 Dec 162005 Dec 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3820 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Embedded Software and Systems, ICESS 2005
Country/TerritoryChina
CityXi'an
Period05/12/1605/12/18

Keywords

  • Clustering
  • RFID networks
  • Reader collision arbitration

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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