Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings

Research Article

A CWMN Spectrum Allocation Based on Multi-strategy Fusion Glowworm Swarm Optimization Algorithm

Download
266 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-72998-5_12,
        author={Zhuhua Hu and Yugui Han and Lu Cao and Yong Bai and Yaochi Zhao},
        title={A CWMN Spectrum Allocation Based on Multi-strategy Fusion Glowworm Swarm Optimization Algorithm},
        proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings},
        proceedings_a={WICON},
        year={2018},
        month={1},
        keywords={Cognitive wireless mesh network (CWMN) Spectrum allocation Glowworm swarm optimization (GSO) Multi-strategy fusion},
        doi={10.1007/978-3-319-72998-5_12}
    }
    
  • Zhuhua Hu
    Yugui Han
    Lu Cao
    Yong Bai
    Yaochi Zhao
    Year: 2018
    A CWMN Spectrum Allocation Based on Multi-strategy Fusion Glowworm Swarm Optimization Algorithm
    WICON
    Springer
    DOI: 10.1007/978-3-319-72998-5_12
Zhuhua Hu,*, Yugui Han1, Lu Cao1, Yong Bai,*, Yaochi Zhao1
  • 1: Hainan University
*Contact email: eagler_hu@hainu.edu.cn, bai@hainu.edu.cn

Abstract

In cognitive wireless mesh networks, genetic algorithm based spectrum allocation has the problems of easily falling into local optimum, low accuracy and slow convergence. Aiming at the problems, glowworm swarm optimization is applied into spectrum allocation, and a multi-strategy fusion glowworm swarm optimization algorithm is proposed in this paper, in which step size and fluorescein volatilization factor are dynamically optimized and positions of the glowworms that has fallen into local optimum can be disturbed by Gauss mutation operator. Compared with genetic algorithm and basic glowworm swarm algorithm, the theoretical analysis and simulation results show that the proposed algorithm can avoid falling into local optimum, converge more quickly to the global optimal solution, and obtain higher system bandwidth reward.