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Asynchronous neighbor discovery with unreliable link in wireless mobile networks

  • Wei Li
  • Jianhui Zhang
  • Feilong Jiang
  • Zhi Li
  • Chong Xu
Article
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Part of the following topical collections:
  1. Special Issue on Network Coverage

Abstract

In wireless mobile networks, neighbor discovery is fundamental to many useful applications. The limited energy of mobile devices stresses the need for effective and energy-saving asynchronous neighbor discovery protocols. The neighbor discovery would fail due to some uncontrollable factors such as hardware errors or sudden interruptions, which are considered as the unreliable link in this paper. Existing works do not take the unreliable link into consideration and the performances with unreliable link can still be improved. In this paper, we assume a certain probability that unreliable link would happen, and design a novel deterministic Quorum System (QS)—E-grid(k) QS and a novel probabilistic QS—Plain(k) QS and propose two algorithms based on these two QSs to solve the asynchronous neighbor discovery problem in wireless mobile networks with unreliable link. Extensive simulations are conducted to evaluate our algorithms. We use the cumulative distribution function (CDF) of the discovery latency and the Valid Overlapped Time Slots (VOTS) of QS in the evaluation. Simulation results show that Plain(k) and E-grid(k) QSs outperform most existing neighbor discovery protocols in both P2P model and clique model with unreliable or reliable link.

Keywords

Neighbor discovery Wireless mobile network Quorum system Unreliable link 

Notes

Acknowledgements

This work is under the support of the general program of the National Natural Science Foundation of China (NSFC) under Grants No. 61473109, 61671193, 61572164 and 61772472, the Natural Science Foundation of Zhejiang Province under Grant No. LY17F020020, the Key Research and Development Plan of Zhejiang Province under Grant No. 2018C04012, the Graduate Scientific Research Foundation and the Excellent Dissertation Fostering Foundation of Hangzhou Dianzi University.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Wei Li
    • 1
  • Jianhui Zhang
    • 1
  • Feilong Jiang
    • 1
  • Zhi Li
    • 1
  • Chong Xu
    • 1
  1. 1.College of Computer Science and TechnologyHangzhou Dianzi UniversityHangzhouChina

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