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A Lightweight Energy-Efficient Technique for QoS Enhancement in Urban VFC for Intelligent Transportation System

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Abstract

Resource optimization, and quality of service (QoS) improvement, for real-time latency-sensitive applications, are the two major challenges in vehicular fog computing (VFC), due to constraint resources, and the temporal relevance of the results of queries. In this research work, a multi-objective optimization model is presented to optimize the latency, and resource utilization in VFC. A heuristic-based algorithm, the lightweight energy-efficient algorithm for quality-of-service (LEAQoS) to solve the MOO model and a novel concept of adaptive capacity tuning for the dynamic workload (ACT-DW) is proposed for optimizing the resource consumption and latency. The proposed technique enables dynamic resource provisioning in VFC, to process all the dynamically generated latency-sensitive requests at vehicular fog nodes (VFN). A novel and nature-inspired concept of publisher–subscriber at static fog nodes is proposed in this research work for the processing of algorithms, to conserve the scarce VFN resources for the processing of latency-sensitive requests. The simulation results on real-world data prove a significant improvement in latency, resource consumption, and QoS satisfaction ratio as compared to the state-of-the-art competing works. This proves the suitability and practical applicability of the proposed technique for latency-sensitive applications in VFC.

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Data Availability

All the data required/used/generated for the completion of this research work is available within the text and (or) is available at DeepBinwal/VFC_Chandigarh(github.com).

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Acknowledgements

This work is a collaborative work between UPES and Indian Air Force. For research, an MoU is signed between UPES and Indian Air Force to use each other's computational and other resources. We thank both organizations for offering all support for completing this research for significant outcomes. We are grateful to anonymous reviewers for spending their precious time and effort in suggesting improvements in this work because of which this research work reached its present form.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. University of Petroleum and Energy Studies, Dehradun, India

    Deep Chandra Binwal & Rajeev Tiwari

  2. Indian Air Force, New Delhi Head Quarter- Div- Wireless Networks, Computer Networks, New Delhi, India

    Deep Chandra Binwal

  3. Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

    Monit Kapoor

  4. School of Computer Science and Engineering, IILM, Greater Noida, Uttar Pradesh, India

    Rajeev Tiwari

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  1. Deep Chandra Binwal
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DC: Conceptualization, algorithm, implementation. writing. RT: problem Identification, supervision, paper review. MK: problem identification, supervision, paper review.

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Correspondence to Rajeev Tiwari.

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Binwal, D.C., Tiwari, R. & Kapoor, M. A Lightweight Energy-Efficient Technique for QoS Enhancement in Urban VFC for Intelligent Transportation System. J Netw Syst Manage 31, 70 (2023). https://doi.org/10.1007/s10922-023-09759-8

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