Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

In the recent times of data transmission, applying the Internet of Things (IoT) device, networking to the various IoT modules is still a great challenge with the deployment stage. Very few localities in the world have the deployed IoT module integrated in its communication, but still maximum of the location are in testbed. As a practical application, the IoT modules can be used to collect the information about either the drunken person who is driving the vehicle or the heavily loaded vehicles. The vehicle that we are about to search should be integrated with the IoT module. In this paper, a novel approach for object tracking specifically the drunken driving person and the heavily loaded vehicle is proposed to ensure the follow of rules and prevent any mis happening. The task is to identify the exact vehicle which does not follow the rules which can be tracked and eliminated. For that we are proposing a simple methodology on identifying the vehicle by the tracking the locality of the vehicle as a cluster of nodes where the cluster provides the key inference on how the vehicles are interrelated in the learning environment.

VIT Unitversity

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Fulltext

Indonesian Journal of Electrical Engineering and Computer Science

Identification of mobile vehicle through multilayer intercommunication

Collection of various data from sensed data or raw availability of data from transcript or interdependency of data from various sources is a tedious task in a real time scenario like an Indian context is considered. Planning to find a solution to collect the data from various vehicular devices about the information related to the pollution becomes a cumbersome job. The need of the data, under what time duration data has to be transmitted, how they are interconnected and whether data needs to be stored or how they are processed is a major question that arise when dealing with collecting data and internetworking with various vehicular devices. A study of two different types of approaches for internetworking between the devices is discussed. One related to real time setup of mobile application and other with the dynamic cluster approach when the nodes are moving in a region was considered. Eliminating the speed of the vehicle with the movement of human formation of cluster with the mobile application to identify the various devices in the vicinity was identified and handoff between the clusters was also taken care in the first approach and in the second one performance metrics while establishing the multi-layer cluster was discussed.

Department of Computational Intelligence

Department of Design and Automation

School of Mechanical Engineering

SAE Technical Paper Series

Handling of Data from Heterogeneity of Vehicular Devices through Inter-Networking

Vehicular ad-hoc networks (VANET) belonging to family of ad-hoc uses IEEE 802.11p standard which have received considerable attention in many vehicular projects and industry groups. VANETs are a special kind of mobile ad-hoc networks where wireless-equipped (road-side) vehicles form a network with no additional infrastructure. While many communication scenarios exist for these networks, In VANET project focuses only on the application to improve vehicular safety by taking into account the physiological and ecological context-aware / sensitive parameters to increase driver convenience. The aim of this research work is to focus on design of a middleware architectural model for providing safety in VANET. Even though a number of passive safety approaches exist, incorporating active safety (intelligence) is challenging part of this work. This research paper discusses on design and functionality of the model, with simulated results.

A Hardware Model for Vehicular Network to Control Air Pollution Leading to Big Data Analytics

International Journal of Scientific & Engineering Research

Trends and Impact of Vehicular Tailpipe Emission using Big Data Analytics under Smart City Environment