A Relative Location based Clustering Algorithm for Wireless Sensor Networks

센서의 상대적 위치정보를 이용한 무선 센서 네트워크에서의 클러스터링 알고리즘

  • 정우현 (서강대학교 컴퓨터공학과) ;
  • 장형수 (서강대학교 컴퓨터공학과)
  • Published : 2009.06.15

Abstract

This paper proposes a novel centralized clustering algorithm, "RLCA : Relative Location based Clustering Algorithm for Wireless Sensor Networks," for constructing geographically well-distributed clusters in general WSNs. RLCA does not use GPS and controls selection-rate of cluster-head based on distances between sensors and BS. We empirically show that RLCA's energy efficiency is higher than LEACH's.

본 논문에서는 GPS가 없는 일반적인 Wireless Sensor Networks(WSNs)상에서 상대적 위치정보를 이용하여 지리적으로 고른 clutter를 구성하고, sensor와 BS사이의 거리를 고려하여 cluster head의 선출빈도를 조절하는 새로운 centralized clustering algorithm "RLCA : Relative Location based Clustering Algorithm for Wireless Sensor Networks"를 제안하고, RLCA의 에너지 소비 효율성이 LEACH에 비해 높다는 것을 실험적으로 보인다.

Keywords

References

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