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Parameter Optimization for Neighbor Discovery Probability of Ad Hoc Network Using Directional Antennas

In: Liss 2021

Author

Listed:
  • Ruiyan Qin

    (Beijing Jiaotong University)

  • Xu Li

    (Beijing Jiaotong University)

Abstract

One of the problem in distributed wireless ad hoc network is to design efficient neighbor discovery mechanism. However, the parameter analysis of the directional neighbor acquisition probability model that can be applied to engineering is still unclear. In this paper, the successful discovery probability of the directional neighbor discovery mechanism based on election (DND-EMA) and directional neighbor discovery mechanism based on competition multiple access (DND-CMA) are modeled and analyzed respectively. And then, we obtain the probability expressions of access slot transmission probability and transmission success probability, and finally combines the geometric calculation method and mechanism to obtain the expression of probability of successful discovery, and according to the probability expression analyzes the joint optimized parameters. Numerical analysis results show that the efficiency of the neighbor acquisition mechanism also depends on the choice of the number of antenna sectors. And the number of directional antenna sectors equipped with nodes should be adjusted according to the network scale.

Suggested Citation

  • Ruiyan Qin & Xu Li, 2022. "Parameter Optimization for Neighbor Discovery Probability of Ad Hoc Network Using Directional Antennas," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 523-536, Springer.
    • Handle: RePEc:spr:lnopch:978-981-16-8656-6_47
    DOI: 10.1007/978-981-16-8656-6_47
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