MRAGA (Multicast Routing Algorithm based on Genetic algorithm) for the Delay-Constrained Minimum-Energy Multicast Routing problem was presented. The genetic operators of this algorithm reduce the transmission delay and energy consumption of multicast trees, thus accelerating the convergence speed of the algorithm. Experiment results show that the multicast tree found by this algorithm not only guarantee the delay constraint, but also has the minimum energy consumption. Furthermore, this algorithm converges quickly.
목차
Abstract 1. Introduction 2. Problem Presentation 2.1. Creation of Network Model 2.2. Creation of Energy Consumption Model 3. Multicast Routing Algorithm Based on Genetic Algorithm (MRAGA) 3.1. Encoding 3.2. Population Initialization 3.3 Fitness Function 3.4. Selective Operator 3.5. Crossover Operator 3.6. Mutation Operator 4. Comparisons with Other Algorithms 4.1. Coding Way 4.2 Selection Model 4.3. Crossover Operator 4.4 Mutation Operator 5. Experiment Design and Discussion 5.1. The Experimental Setup 5.2. Performance Evaluation Indicators of Algorithms 5.3. Routing SR Comparison 5.4. Comparison of Energy Consumption 5.5 Comparison of Running Time 5. Conclusion References
키워드
Wireless Ad Hoc networkQoS routingMulticastGenetic algorithm
저자
Yanhua Chen [ Modern Education Technology Center, Neijiang Normal University, Neijiang 641100, 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.8 No.6