The ever-growing number of vehicles brings forth challenges in traffic management. This causes various traffic management issues in urban cities around the world. Some of the issues are: delay in emergency/alarming situations, non-deterministic waiting time of local transport, increased fuel consumption, etc. To help the people travelling by local transport in the cities by knowing the position of the bus, at a specific time, would ease them from indefinite wait or pass over of bus. In this chapter, our focus is to provide a trouble free, smart and innovative IoT-based traffic assistant that can solve real time transport related problems. A Hierarchical Peer Connected Fog Architecture (HPCFA) is proposed to lower latency time and computational overhead. In HPCFA, the fog nodes are organized in a hierarchy where the peer fog nodes present at the same level are also interconnected with each other. The data from IoT devices equipped on the roads will capture the position of the vehicle which is then transmitted to the nearest fog node. This fog node will further transmit the information through HPCFA to the user. Using HPCFA, the total energy consumption is also reduced to some extent. The proposed architecture is very flexible, as it works both with fog nodes or without fog nodes and directly with the cloud. Further, an android application is also developed for the proposed architecture. The simulations and results are also displayed.


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    Titel :

    A Sustainable Energy Efficient IoT-Based Solution for Real-Time Traffic Assistance Using Fog Computing


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Tiwari, Rajeev (Herausgeber:in) / Mittal, Mamta (Herausgeber:in) / Goyal, Lalit Mohan (Herausgeber:in) / Suri, Bhawna (Autor:in) / Taneja, Shweta (Autor:in) / Kumar, Sunny (Autor:in) / Sumit (Autor:in)


    Erscheinungsdatum :

    2021-09-08


    Format / Umfang :

    21 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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