Ad Hoc Networks. 10th EAI International Conference, ADHOCNETS 2018, Cairns, Australia, September 20-23, 2018, Proceedings

Research Article

A Speed-Adjusted Vertical Handover Algorithm Based on Fuzzy Logic

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  • @INPROCEEDINGS{10.1007/978-3-030-05888-3_16,
        author={Dongdong Yao and Xin Su and Bei Liu and Jie Zeng},
        title={A Speed-Adjusted Vertical Handover Algorithm Based on Fuzzy Logic},
        proceedings={Ad Hoc Networks. 10th EAI International Conference, ADHOCNETS 2018, Cairns, Australia, September 20-23, 2018, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2018},
        month={12},
        keywords={Vertical handover Speed-adjusted Fuzzy logic},
        doi={10.1007/978-3-030-05888-3_16}
    }
    
  • Dongdong Yao
    Xin Su
    Bei Liu
    Jie Zeng
    Year: 2018
    A Speed-Adjusted Vertical Handover Algorithm Based on Fuzzy Logic
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-030-05888-3_16
Dongdong Yao1,*, Xin Su2,*, Bei Liu2, Jie Zeng2
  • 1: Chongqing University of Posts and Telecommunications
  • 2: Tsinghua University
*Contact email: yaodongdong@mail.tsinghua.edu.cn, suxin@mail.tsinghua.edu.cn

Abstract

The development of wireless communication technology promotes the inevitability of network integration. In order to solve the problems in the process of heterogeneous wireless networks handover, this paper proposes a speed-adjusted vertical handover algorithm based on fuzzy logic. The algorithm periodically acquires motion information of the terminal in the heterogeneous network environment. By using a threshold function based on the simple weighting method and adjusting the threshold value in combination with the speed, the information that is not suitable for handover will be filtered out. Then, the received signal strength (RSS), network available bandwidth, and battery power are normalized and put into a fuzzy logic controller to obtain a comprehensive network performance value (NCPV). Finally, the handover decision is performed according to NCPV. The simulation results show that this algorithm can reduce unnecessary handover with the increase of speed and suppress the generation of ping-pong effect, compared with the traditional algorithm. In addition, this algorithm also considers factors such as network delay, service cost, etc. Those improve the quality of service (QoS) and user satisfaction.