VCIN Vehicular Interconnected Informatics Network “A interconnected network of vehicular information, Data, and Interfaceâ€

  • Authors

    • Vishaka Tiwari
    • Kumar Saurav
    • M Safa
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.16561
  • IOT(Internet of Things), Cloud Storage, Data analytics, Smart city development
  • With market moving towards smart city development, the importance of data and its analysis has increased. According to a report by HIS Market, data generated from IOT devices will increase to 125 billion in 2030. Such huge amount of data is going to bring opportunities for all level of industries and markets. Thus, intelligent collection of data along with storage, processing and analysis will be a key to develop smart city. The information generated through data can target both users and market. It will be a result of various machine learning, data mining algorithms and distributed data storage technologies. The users can access information through web/mobile applications. The real time analysis of data and delivering it to user with no time will reduce accidents. This will increase productivity in hardware and software markets .VCIN the system of interconnected network of vehicles and infrastructure model in which, it focuses on four core modules. The interconnecting modules makes the network of data coming in and out of the system and finally getting displayed on one of our dashboard.

     

     

  • References

    1. [1] K.Vijiyakumar1, R.Rajkumar2, K.Sanjaikumar3, V.Sarathbabu4 “Predicting Traffic Flow by Analyzing the Flow of Vehicles Using Big Dataâ€, International Research Journal of Engineering and Technology (IRJET).

      [2] S. Bin, L. Yuan, W. XiaoyiResearch on data mining models for the internet of things 2010 International Conference on Image Analysis and Signal Processing, IEEE (2010), pp. 127-132

      [3] R.A Santos et al, Supporting Inter-Vehicular and Vehicle-Roadside Communications over a Cluster-Based Wireless Ad-Hoc Routing Algorithm, Proceedings of the winter international synposium on Information and communication technologies, pp. 1-6, 2004 .

      [4] Yong, Chen and Li, A Static-Node Assisted Adaptive Routing Protocol in Vehicular Networks, Proceedings of the fourth ACM international workshop on Vehicular ad hoc networks, pp. 59-68 September 10, 2007

      [5] Shibao Sun Keyun Qin "Research on Modified k-means Data Cluster Algorithm" I. S. Jacobs and C. P. Bean “Fine particles thin films and exchange anisotropy†Computer Engineering vol. 33 no. 13 pp. 200-201 July 2007.

      [6] Lee Yuh-Jye O.L. Mangasarian "SSVM: A smooth support vector machine for classification" Computational Optimization and Applications vol. 20 no. 1 pp. 2-22 October 2001.

      [7] O. Vallis, J. Hochenbaum, A. Kejariwal. A Novel Technique for Long-term Anomaly Detection in the Cloud, Proceedings of the 6th USENIX Conference on Hot Topics in Cloud Computing (HotCloud 2014), Philadelphia, USA .

      [8] K. Bhaduri, K. Das, B. L. Matthews. Detecting Abnormal Machine Characteristics in Cloud Infrastructures, Proceedings of the 11th International Conference on Data Mining Workshops (ICDMW 2011), Vancouver, Canada.

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  • How to Cite

    Tiwari, V., Saurav, K., & Safa, M. (2018). VCIN Vehicular Interconnected Informatics Network “A interconnected network of vehicular information, Data, and Interface”. International Journal of Engineering & Technology, 7(3.12), 919-924. https://doi.org/10.14419/ijet.v7i3.12.16561