Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

An Effective QoS-Based Reliable Route Selecting Scheme for Mobile Ad-Hoc Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_1,
        author={Jiamei Chen and Yao Wang and Xuan Li and Chao Gao},
        title={An Effective QoS-Based Reliable Route Selecting Scheme for Mobile Ad-Hoc Networks},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Mobile ad-hoc networks Quality of service (QoS) QRRSS Reliability AQOR},
        doi={10.1007/978-3-319-73564-1_1}
    }
    
  • Jiamei Chen
    Yao Wang
    Xuan Li
    Chao Gao
    Year: 2018
    An Effective QoS-Based Reliable Route Selecting Scheme for Mobile Ad-Hoc Networks
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_1
Jiamei Chen1,*, Yao Wang2, Xuan Li1, Chao Gao2
  • 1: Shenyang Aerospace University
  • 2: Shenyang Artillery Academy
*Contact email: chenjiamei5870@163.com

Abstract

In mobile ad-hoc networks, the random mobility of nodes will result in unreliable connection. In addition, the bandwidth resource limit will affect the quality of service (QoS) critically. In this paper, an effective QoS-based reliable route selecting scheme (QRRSS) is proposed to alleviate the above problems. The route reliability can be estimated by received signal strength and the control packet overhead can be decreased by selecting more reliable link that satisfies the QoS requirements. Simulation results indicate that the reliable route selecting scheme presented in this paper shows obvious superiority to the traditional ad-hoc QoS on-demand routing (AQOR) in the packet successful delivery rate, the control packet overhead and the average end-to-end delay.