Journal of information and communication convergence engineering

  • 제12권1호
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  • Pages.8-13
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  • 2014
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  • 2234-8255(pISSN)
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  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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Geometry-Based Sensor Selection for Large Wireless Sensor Networks

  • Kim, Yoon Hak (Department of Electronic Engineering, Chosun University)
  • 투고 : 2013.06.02
  • 심사 : 2013.07.22
  • 발행 : 2014.03.31
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초록

We consider the sensor selection problem in large sensor networks where the goal is to find the best set of sensors that maximizes application objectives. Since sensor selection typically involves a large number of sensors, a low complexity should be maintained for practical applications. We propose a geometry-based sensor selection algorithm that utilizes only the information of sensor locations. In particular, by observing that sensors clustered together tend to have redundant information, we theorize that the redundancy is inversely proportional to the distance between sensors and seek to minimize this redundancy by searching for a set of sensors with the maximum average distance. To further reduce the computational complexity, we perform an iterative sequential search without losing optimality. We apply the proposed algorithm to an acoustic sensor network for source localization, and demonstrate using simulations that the proposed algorithm yields significant improvements in the localization performance with respect to the randomly generated sets of sensors.

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참고문헌

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피인용 문헌

  1. Radial Reference Map-Based Location Fingerprinting Technique vol.14, pp.4, 2016, https://doi.org/10.6109/jicce.2016.14.4.207
  2. 시퀀스 기반 위치추정 시스템을 위한 효율적 노드배치 알고리즘 vol.22, pp.3, 2014, https://doi.org/10.7471/ikeee.2018.22.3.658