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Data Communication and Networks pp 285–294Cite as

Fair Comparative Analysis of Opportunistic Routing Protocols: An Empirical Study

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

Abstract

Fair comparative analysis of opportunistic routing protocols plays a vital role in selecting a suitable routing protocol for various applications of opportunistic networks. In this paper, we have analyzed the performance of the routing protocols, namely, EPIDEMIC, Spray and Wait, PROPHET, First Contact, Direct Delivery, MaxProp, WaveRouter, and LifeRouter. The ONE simulator is used for this empirical study. This study measures the performance of protocols based on Delivery Probability, Overhead Ratio, and Average Latency with different mobility models as well as real-world mobility traces. The simulation results surprisingly show that Spray and Wait outperform all the other protocols in almost all scenarios. Further, CAHM mobility model is able to mimic real-world mobility closely resembling real-world mobility traces of different network densities.

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Authors and Affiliations

  1. Computer Science & Engineering, Institute of Technology, Nirma University, Ahmedabad, India

    Jay Gandhi & Zunnun Narmawala

Authors
  1. Jay Gandhi
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  2. Zunnun Narmawala
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Corresponding author

Correspondence to Zunnun Narmawala .

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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© 2020 Springer Nature Singapore Pte Ltd.

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Gandhi, J., Narmawala, Z. (2020). Fair Comparative Analysis of Opportunistic Routing Protocols: An Empirical Study. 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_20

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  • DOI: https://doi.org/10.1007/978-981-15-0132-6_20

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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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