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A Node Positioning Algorithm in Wireless Sensor Networks Based on Improved Particle Swarm Optimization
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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.9 No.4 (2016.04)바로가기
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- 페이지
- pp.179-190
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A272888
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The estimation error of the least square method in traditional Distance Vector-Hop (DV-Hop) algorithm is too large and the Particle Swarm Optimization (PSO) algorithm is easy to trap into local optimum. In order to overcome the problems, a fusion algorithm of improved particle swarm algorithm and DV-Hop algorithm was presented. Firstly, PSO algorithm was improved from aspects of particle velocity, inertia weight, learning strategy and variation, which enhanced the ability to jump out of local optimum of the algorithm and increased the search speed of the algorithm in later iterative stage. Then, the node localization result was optimized by using the improved PSO algorithm in the third stage of the DV-Hop algorithm. The simulation results show that compared with the traditional DV-Hop algorithm, the improved DV-Hop based on chaotic PSO algorithm and the DV-Hop algorithm based on improved PSO, the proposed algorithm has higher positioning accuracy and better stability, which is suitable for high positioning accuracy and stability requirements scenes.
목차
Abstract
1. Introduction
2. Theory
2.1. Description of Poisition Problem
2.2. Design of Fitness Function
3. Improved Particle Swarm Optimization
3.1. Standard Particle Swarm Optimization
3.2. Improvement of Speed
3.3. Inertia Weight Improvements
3.4. Learning Strategies
3.5. Mutation
4. Algorithmic Process
5. Simulation and Analysis
5.1. Simulation Environment and Parameters
5.2. Anchor Node Ratio’s Effect on the Positioning Accuracy
5.3. Number of Nodes’ Effect on the Positioning Accuracy
5.4. Communication Radius’ Effect on the Positioning Accuracy
6. Conclusion
Acknowledgment
References
키워드
Wireless Sensor Network (WSN) Particle Swarm Optimization (PSO) algorithm Distance Vector-Hop ( DV-Hop) algorithm inertia weight; variation저자
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.9 No.4
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