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Co-simulation Based Finite State Machine for Telematic and Data Compression Microservices in IoT

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Abstract

Despite the wide adoption of Internet of things (IoT) with several webs standards and cloud technologies; building of city wide IoT based smart city platform for solving transportation problem remains a daunting task. Owing to the dynamic nature of IoT and components of transportation systems, smart city architecture would require development of a scalable, distributed and evolving architecture on the web. With the advancement in autonomous transportation system there is a need for in adaptive module in telematic system for compressing the huge volume of commands and co-simulation mechanism to communicate with other sensor nodes etc. As IoT based microservices have special requirements of which are related to the size and type of information to be exchanged between end to end devices and the control centre. By the time the data makes its way to the cloud for analysis, the opportunity to act on it might be gone. Thus handling such huge streams of data on the fly is a daunting task. In this study we present a method for simultaneous co-simulation and run length encoding based compression for a wide network of mobile IoT framework running multimedia microservices based telematic system.

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Authors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Chennai, India

    Ankush Rai & R. Jagadeesh Kannan

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  1. Ankush Rai
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  2. R. Jagadeesh Kannan
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Correspondence to Ankush Rai.

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Rai, A., Jagadeesh Kannan, R. Co-simulation Based Finite State Machine for Telematic and Data Compression Microservices in IoT. Wireless Pers Commun 105, 1069–1082 (2019). https://doi.org/10.1007/s11277-019-06136-0

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