3 Citations (Scopus)

Abstract

Localization technique is required to obtain the unknown nodes position in wireless sensor networks. Linear Intersection and Centroid are two selected methods on estimating the unknown position from its corresponding anchors. The execution time of these methods is acceptable. However, the error of unknown nodes position yields worst performance. We exploit likelihood estimator in refinement process of linear intersection method to obtain the sufficient error. Uncertainty impact on centroid method will be minimized by inserting the weighted factor on it. Our proposed method results in 50% reduction of average position error in grid deployment scheme, although larger execution time is needed. This paper provides an efficient method to solve the localization in small-scale deployment.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages535-539
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Country/TerritoryIndonesia
CityBali
Period21/11/1124/11/11

Keywords

  • Wireless Sensor Networks
  • linear intersection
  • node localization
  • weighted centroid

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