Abstract
This work addresses the problem of optimal data transmission in a multi-hop edge network. In edge networks, IoT devices need to transmit data to the local processing units. However, having a short-range communication capacity, it is hard for IoT devices to transmit the data to the concerned processing edge devices. Hence, they mostly rely on multi-hop communication. There is no such scheme for multi-hop communication at the edge while ensuring timeliness. We envision that software-defined networking can help in solving the aforementioned problem. Hence, we proposed a software-defined edge architecture and designed a game theoretic model for optimal multi-hop data transmission. We use a dynamic coalition game to identify the optimal paths for data transmission in edge networks for IoT. The performance of the proposed scheme is also evaluated and compared with the existing literature.
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Acknowledgement
This work was supported by the IIT Indore Young Faculty Research Seed Grant (YFRSG) Scheme (Grant No: IITI/YFRSG/2022-23/12).
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Gurung, S., Mondal, A. (2024). TiME: Time-Sensitive Multihop Data Transmission in Software-Defined Edge Networks for IoT. In: Casteleyn, S., Mikkonen, T., García Simón, A., Ko, IY., Loseto, G. (eds) Current Trends in Web Engineering. ICWE 2023. Communications in Computer and Information Science, vol 1898. Springer, Cham. https://doi.org/10.1007/978-3-031-50385-6_4
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