Outlier Detection Techniques for Localization in Wireless Sensor Networks : A Survey
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- 발행기관
- 보안공학연구지원센터(IJFGCN) 바로가기
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- 간행물
- International Journal of Future Generation Communication and Networking 바로가기
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- 통권
- Vol.8 No.6 (2015.12)바로가기
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- 페이지
- pp.99-114
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A267673
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In wireless sensor networks (WSNs), localization is one of the most important topics because the location information is typically useful for many applications. The primary data used in a localization process include the locations of anchor nodes and the distances between neighboring nodes. However, these data may contain outliers that deviate from their true values. The existence of the outliers might make the estimated positions not accurate. Thus, it is important to detect and handle outliers in order to achieve high localization accuracy. In this paper, we survey the existing outlier detection techniques for localization in wireless sensor networks. We provide taxonomy for classifying outlier detection techniques in WSNs localization based on different features. In addition, we present comparisons of these techniques. Finally, we discuss the future research directions in this area.
목차
Abstract
1. Introduction
2. Background
2.1. Outliers in WSNs
2.2. Localization for WSNs
2.3. Outlier in Localization for WSNs
3. Motivation
4. Classification
4.1. Network Implementation
4.2. Detected Outlier Type
4.3. Handle Detected Outlier
5. Outlier Detection Techniques for Wireless Sensor Networks Localization
5.1. LAD Localization Anomaly Detection
5.2. RobustLoc Outlier Detection
5.3. Beyond Triangle Inequality
5.4. Detecting Outlier Measurements Based on Graph Rigidity
5.5. Range-Based Localization Using Density- Based Outlier Detection
5.6. Outlier-Detection-Based Indoor Localization System for WSN
5.7. Outlier Compensation in SN Self-Localization via the EM
5.8. Secure RSS-Based Localization in Sensor Networks
5.9. Robust Distributed Node Localization with Error Management
5.10. Robust Statistical Methods for Securing Wireless Localization
5.11. A Robust Localization Algorithm in WSNs
5.12. Robust Interval-Based Localization for Mobile Sensor Networks
6. Comparison of Outlier Detection Techniques for Localization in WSNS
7. Shortcomings of Outlier Detection Techniques for WSNS Localization and Future Research Directions
7.1. Shortcomings of Outlier Detection Techniques for WSNS Localization
7.2. Future Research Directions
8. Conclusions
References
키워드
Comparison detection localization outlier taxonomy technique WSNs wireless sensor networks저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJFGCN) [Science & Engineering Research Support Center, Republic of Korea(IJFGCN)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Future Generation Communication and Networking
- 간기
- 격월간
- pISSN
- 2233-7857
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Future Generation Communication and Networking Vol.8 No.6
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