Directional Sampling and Refinement Localization Scheme for wireless sensor networks

Wei Cheng, Yong Li, Xipeng Yin

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

Abstract

Location estimation is a fundamental issue for wireless sensor networks (WSNs). In this paper, a directional sampling and refinement localisation scheme for wireless sensor networks is proposed. The algorithm includes two stages. In first stage, sampling is carried out in a directional way, to cover the overlapping area of two anchors' range, and then the initial position estimate of sensor node comes into being after filtering samples. In second stage, normal node further filters successful samples through collaboration to refine the initial position estimate. This work is based on the following principles: Sampling is carried out in a directional way, to cover the overlapping area of two anchors' range, thus the probability that the sampling estimate can hit the real position is increased. Simulation results show that the proposed algorithm achieves better accuracy than Sampling Localization and Refinement (SL-R).

Original languageEnglish
Title of host publicationProceedings - 2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012
Pages354-357
Number of pages4
StatePublished - 2012
Event2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012 - Gyeongju, Korea, Republic of
Duration: 27 Aug 201229 Aug 2012

Publication series

NameProceedings - 2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012

Conference

Conference2012 8th International Conference on Computing and Networking Technology (INC, ICCIS and ICMIC), ICCNT 2012
Country/TerritoryKorea, Republic of
CityGyeongju
Period27/08/1229/08/12

Keywords

  • Directional Sampling
  • Localization
  • Wireless Sensor Networks

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