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Multi-objective Heuristic Multicast Routing Algorithm in NDN

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IoT as a Service (IoTaaS 2018)

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Abstract

NDN naturally supports multicast better than the traditional Internet, and multicast plays an important role in NDN. Most researchs on multicast routing algorithms are focused on cost optimization without taking node cache into account. This paper constructs a mathematical model for joint optimization of delay and cost, which is more flexible in describing NDN than adding delay as a constraint to the model. Then, the heuristic multicast algorithm considering node cache for this model is proposed. Last, we analyze the delay performance of the algorithm by comparing it with the exact Algorithm and the classical STMPH algorithm.

Supported by Science and Technology on Communication Networks Laboratory Foundation Project and Aerospace Field Pre-research Foundation Project (060501).

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Authors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Xuming An, Yu Zhang, Yanxiang Chen & Yadong Wang

  2. The Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, CETC-54, Shijiazhuang, China

    Xuming An & Yu Zhang

Authors
  1. Xuming An
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  2. Yu Zhang
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  3. Yanxiang Chen
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  4. Yadong Wang
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Corresponding author

Correspondence to Yu Zhang .

Editor information

Editors and Affiliations

  1. Northwestern Polytechnical University, Xi′an, China

    Bo Li

  2. Northwestern Polytechnical University, Xi'an, China

    Mao Yang

  3. Shandong University, Jinan, Qinghai, China

    Hui Yuan

  4. Northwestern Polytechnical University, Xi'an, Shaanxi, China

    Zhongjiang Yan

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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An, X., Zhang, Y., Chen, Y., Wang, Y. (2019). Multi-objective Heuristic Multicast Routing Algorithm in NDN. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_20

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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