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Probability Prediction Using Improved Method in Delay-Tolerant Network

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Data Communication and Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1049))

Abstract

Delay-Tolerant Network is a widely used network these days. Nodes are connected with each other and pass information between each other. The node that obtains the message accumulates it and advances its duplicate to another node it experiences. There are many parameters used to evaluate the Delivery Probability (DP) and storage of each node is also used because in DTN all the nodes should be capable of storing the message if the path is not available. In this paper, an improved method (EEA-PRoPHET) is proposed for increasing the probability prediction and transitivity of the nodes.

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Author information

Authors and Affiliations

  1. ITM GOI, Gwalior, India

    Pradeep Yadav, Manuj Mishra & C. P. Bhargava

Authors
  1. Pradeep Yadav
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  2. Manuj Mishra
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  3. C. P. Bhargava
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Corresponding author

Correspondence to Pradeep Yadav .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and IT, University of Technology Sydney, Broadway, NSW, Australia

    Lakhmi C. Jain

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis

  3. Department of Automation and Applied Informatics, “Aurel Vlaicu” University of Arad, Arad, Romania

    Valentina E. Balas

  4. Department of Computer Engineering and Applications, Institute of Engineering and Technology, GLA University, Mathura, India

    Dilip Kumar Sharma

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Yadav, P., Mishra, M., Bhargava, C.P. (2020). Probability Prediction Using Improved Method in Delay-Tolerant Network. In: Jain, L., Tsihrintzis, G., Balas, V., Sharma, D. (eds) Data Communication and Networks. Advances in Intelligent Systems and Computing, vol 1049. Springer, Singapore. https://doi.org/10.1007/978-981-15-0132-6_2

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  • DOI: https://doi.org/10.1007/978-981-15-0132-6_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0131-9

  • Online ISBN: 978-981-15-0132-6

  • eBook Packages: EngineeringEngineering (R0)

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