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Agent Technology Based Resource Allocation for Fog Enhanced Vehicular Services

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 33))

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Abstract

IoT comprising heterogenous devices with varied and constrained resources imposes challenge in managing the available network resources. The new technology raised to solve these challenges is fog computing. In this research work, Agent technology for Fog enhanced vehicular services model is proposed. For managing the resources at the edge of the network fog is used and cloud agency is used for providing services to the tasks that are not given by the fog. The proposed work is designed and simulated using cloudsim tool and analysed using cloud analyst tool. Performance measures such as resource utilization, allocation time and congestion rate is measured and resulted with better resource utilization, less allocation time and reduced congestion rate.

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Acknowledgements

The authors are thankful for the college and AICTE for the support in doing the work. The work is funded by AICTE grant for carrying out the project “Resource Management in Internet of Things” Ref. No. File No. 8-40/RIFD/RPS/POLICY-1/2016-17 dated August 02, 2017.

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Authors and Affiliations

  1. Department of Electronics and Communication, BLDEA’s V.P. Dr. P.G.Halakatti College of Engineering and Tehnology, Vijayapur, Karnataka, India

    Daneshwari I. Hatti

  2. Department of Electronics and Communication, Basveshwar Engineering College, Bagalkot, Karnataka, India

    Ashok V. Sutagundar

Authors
  1. Daneshwari I. Hatti
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  2. Ashok V. Sutagundar
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Corresponding author

Correspondence to Daneshwari I. Hatti .

Editor information

Editors and Affiliations

  1. Department of CSE, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    S. Balaji

  2. Departamento de Engenharia Informática, Faculdade de Ciências e Tecnologia, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

  3. Department of Electrical Engineering, National Changhua University of Education, Changhua County, Taiwan

    Yi-Nan Chung

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Hatti, D.I., Sutagundar, A.V. (2020). Agent Technology Based Resource Allocation for Fog Enhanced Vehicular Services. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_8

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  • DOI: https://doi.org/10.1007/978-3-030-28364-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28363-6

  • Online ISBN: 978-3-030-28364-3

  • eBook Packages: EngineeringEngineering (R0)

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