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IoT 22(29): e1

Research Article

Managing Trade-off Between Subscription Load and Latency in Vehicular Edge Platform

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  • @ARTICLE{10.4108/eetiot.v8i28.708,
        author={Takumu Takada and Ryohei Banno},
        title={Managing Trade-off Between Subscription Load and Latency in Vehicular Edge Platform},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={8},
        number={29},
        publisher={EAI},
        journal_a={IOT},
        year={2022},
        month={4},
        keywords={Edge computing, Publish/Subscribe, MQTT, IoT, Vehicular platform},
        doi={10.4108/eetiot.v8i28.708}
    }
    
  • Takumu Takada
    Ryohei Banno
    Year: 2022
    Managing Trade-off Between Subscription Load and Latency in Vehicular Edge Platform
    IOT
    EAI
    DOI: 10.4108/eetiot.v8i28.708
Takumu Takada1, Ryohei Banno1,*
  • 1: Kogakuin University
*Contact email: banno@computer.org

Abstract

Adding connectivity to vehicles is attracting much attention toward developing smarter vehicles such as autonomous cars. To obtain and utilize real-time information from vehicles, techniques that combine the concept of edge computing and publish/subscribe messaging model have been proposed. However, there is an issue that the increase in the number of edge servers imposes a heavy load upon a subscriber for managing connections to them. To address this issue, we propose an edge-based platform with the functionality of adjusting the number of connections to edge servers. Experimental results clarify the trade-off characteristic between subscription load and latency.

Keywords
Edge computing, Publish/Subscribe, MQTT, IoT, Vehicular platform
Received
2022-01-11
Accepted
2022-04-21
Published
2022-04-29
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.v8i28.708

Copyright © 2022 Takumu Takada et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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