원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
Vol.9 No.2
2016.02
pp.19-28
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
MaxNLMRGA (Max Network-Lifetime Multicast Routing Algorithm based on Genetic algorithm) for the NLMR (Network-Lifetime Multicast Routing) problem was presented. The genetic operators of this algorithm reduce the transmission cost and energy consumption of multicast trees, and mutation operator prolongs the network lifetime, thus accelerating the convergence speed of the algorithm. Experiment results show that the multicast tree found by this algorithm not only has the minimum transmission cost, but also has the longest network lifetime. Furthermore, this algorithm converges quickly.
목차
Abstract
1. Introduction
2 Problem Presentation
2.1 Creation of Network Model
2.2 Establishment of Network Lifetime Model
2.3 Network Lifetime Minimum Cost Multicast Routing Problem
3. Max Network-Lifetime Multicast Routing Algorithm based onGenetic algorithm (MaxNLMRGA)
3.1. Encoding
3.2. Population Initialization
3.3 Fitness Function
3.4 Selective Operator
3.5 Crossover Operator
3.6 Mutation Operator
4. Comparison 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 Transmission Cost Ratio Comparison
5.4 Network Lifetime Ratio Comparison
5.5 Running Time Comparison
6. Conclusion
Acknowledgement
References
1. Introduction
2 Problem Presentation
2.1 Creation of Network Model
2.2 Establishment of Network Lifetime Model
2.3 Network Lifetime Minimum Cost Multicast Routing Problem
3. Max Network-Lifetime Multicast Routing Algorithm based onGenetic algorithm (MaxNLMRGA)
3.1. Encoding
3.2. Population Initialization
3.3 Fitness Function
3.4 Selective Operator
3.5 Crossover Operator
3.6 Mutation Operator
4. Comparison 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 Transmission Cost Ratio Comparison
5.4 Network Lifetime Ratio Comparison
5.5 Running Time Comparison
6. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보
