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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.12
- 수록면
- 355 - 365 (11page)
- DOI
- 10.33162/JAR.2023.12.23.4.355
이용수
초록· 키워드
오류제보하기
Purpose: This paper explores the optimization problem of determining the position of sensors in a sensor system to cover the service area while considering the system’s reliability.
Methods: A simulation and an approximation method are used to estimate the sensor system’s reliability, given the service area, sensing (coverage) radius, and sensor reliability. Three heuristic methods (uniform placement, P-center placement, and a genetic algorithm) are then proposed and compared numerically to determine the sensors’ locations to maximize the system’s reliability.
Results: Based on the numerical studies, the genetic algorithm outperformed other methods in determining sensor locations with high reliability. A study was then conducted on the effects of the model parameters on the optimal locations.
Conclusion: An optimization problem is studied to determine the optimal locations of sensors in a system for a given service area, sensing (coverage) radius, and sensor reliability. Simulated and approximate methods are used to estimate reliability, and a numerical comparison is conducted between three heuristic methods. The genetic algorithm provided the best results. A sensitivity analysis was conducted to understand the effects of model parameters on the optimal locations.
Methods: A simulation and an approximation method are used to estimate the sensor system’s reliability, given the service area, sensing (coverage) radius, and sensor reliability. Three heuristic methods (uniform placement, P-center placement, and a genetic algorithm) are then proposed and compared numerically to determine the sensors’ locations to maximize the system’s reliability.
Results: Based on the numerical studies, the genetic algorithm outperformed other methods in determining sensor locations with high reliability. A study was then conducted on the effects of the model parameters on the optimal locations.
Conclusion: An optimization problem is studied to determine the optimal locations of sensors in a system for a given service area, sensing (coverage) radius, and sensor reliability. Simulated and approximate methods are used to estimate reliability, and a numerical comparison is conducted between three heuristic methods. The genetic algorithm provided the best results. A sensitivity analysis was conducted to understand the effects of model parameters on the optimal locations.
목차
1. 서론
2. 센서 시스템 신뢰도 분석
3. 센서 최적 위치 결정 문제
4. 유전 알고리즘을 사용한 민감도 분석
5. 결론
References
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