An improved wireless sensor networks effective coverage method based on differential evolution algorithm is proposed in this paper, which using quadratic interpolation method to improve the algorithm performance to further optimize the effective coverage of wireless sensor network nodes. Simulation results show that, compared to DE algorithm, the new algorithm can improve local search capabilities, reduce the computational cost of the algorithm, accelerate standards DE convergence, improve the accuracy of solution, and has some reference value for optimization application of wireless sensor network.
목차
Abstract 1. Introduction 2. Problem Description 3. WSN Nodes Distribution Optimization Algorithm based on Differential Evolution 3.1. Differential Evolution Algorithm 3.2. DE Algorithm Improvements 4. Hybrid Differential Evolution Improved Algorithm Steps Based on Quadratic Interpolation 5. Simulation and Analysis 5.1. Parameters Setting 5.2. Simulation Analysis 6. Conclusion References
Wenli Lei [ School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China / School of Physics and Electronic Information, Yan’an University, Yan’an china ]
Fubao Wang [ School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China ]
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
간행물명
International Journal of Future Generation Communication and Networking
간기
격월간
pISSN
2233-7857
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Future Generation Communication and Networking Vol.9 No.11