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 this paper, an Algorithmic Assistance Module (AAM) is implementedto work on the on-going 5G technology and to counter the various drawbacks it might face soon. The three algorithmic strategizes proposed in our paper have been objectified in improving the spectral efficiency, minimizing the interference, avoiding call drops, enhancing the throughput, cutting off the hardware expenses and lessening the latency. The first module eliminates the unicasting of identical data contents and uses the IAV algorithm for dynamic allocation of the identical data. Minimizing the on route interference and thereby reducing the power by involving less numberof user equipment (UEs) based on their active status from source to the receiver in Underlay Device to device communication model is our second assistance module. The exponential increase in the population density across the globe appeals high data rate, which demands the spectrum to be utilizedmore efficiently. Through our third assistance module, maximizing the spectral efficiency is planned and minimizing the hardware expenses for each antennae array through the implementation of our hybrid weights.

World University root node

Department of Embedded Technology

School of Electronics Engineering

Vellore Campus

Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020

An optimum QoS based dynamic algorithmic assistance module approach in aiding 5G

An unique artificial ground plane is composed of several aperiodic rectangular AMC cell (RAMC) structure. In this paper, we have designed and employed it as a ground plane of the printed antenna. A conventional antenna fabricated on a PCB using microstrip techniques is also designed for comparison of the performance parameters. For demonstration, both the antennas have been designed, implemented and compared. The Aperiodic AMC loaded microstrip antenna has a very high efficiency where as the conventional microstrip antenna has an effectively lower efficiency within the operating frequency band. Also, the Aperiodic FSS based AMC loaded microstrip antenna has more gain, wider bandwidth and good radiation characteristics when compared to the conventional microstrip antenna.

VIT Unitversity

2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN)

Design of Aperiodic Artificial Magnetic Conductor in Patch Antenna For Microwave Frequencies

This paper focuses on a virtual approach towards efficient frequency allocation for the most favorable D2D user using an adapted Greedy algorithm in association with the cellular network user. Our work utilizes two frequency bands. One is for cellular mobile network users for transmitting and also can be shared by D2D users while other is only for D2D users communicating with each other. After using a progressive Greedy algorithm, some D2D user might change their frequency to the frequency used by cellular network users, so that the interference received by D2D users is reduced and hence the performance of the system is increased. Two cases are considered here, at first mean interference level received by D2D user is calculated before using a Greedy algorithm and secondly, after using the Greedy algorithm. This mean interference is compared for random frequency assignment. Three different regions are considered for this study: highly populated, moderately populated and sparsely populated region. The final result shows the benefit of using the Greedy Algorithm. © 2019 IEEE.

Department of Communication Engineering

Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019

Virtual Frequency Allocation Technique for D2D Communication in a Cellular Network

Over the years, wireless mobile connectivity has encompassed billions of people all over the world giving more connectivity and freedom to interact. Dramatically increasing data traffic has been a significant product of this exponential rise in the subscriber base, leading to a drastic demand-supply shortage. Current generation cellular networks such 5G mobile networks and D2D cooperative communication have been poised as solutions for the global bandwidth and supply shortage, anticipating more power efficiency, transmission capacity, reduced latency and a host of other improved efficiency parameters. However, as the mobile devices in a particular area grow, short-range data and multimedia transfer using fewer resources need to be exploited to give better transferability.The paper deals with improving the delivery performance parameters by designing a multi-hop relay based device-to-device communication paradigm where both proximity and social link parameters have been utilized to increase throughput. © BEIESP.

International Journal of Innovative Technology and Exploring Engineering

Design of an optimized social arithmetic mean based relay selection scheme for D2D cooperative communication

This paper investigates the problem of resource allocation scheme to mitigate cell-edge interference, and then address the issue of dead zone elevations schemes to enhance cell coverage. In the first part for the analysis of proposed D2D assisted Fractional Frequency Reuse (FFR) scheme to minimize interference in a multi-cell environment. In the second part, a random resource letch algorithm introduced for throughput enhancement, and the cell association is optimized to enhance network efficiency. The cumulative growth of data demand in mobile communication requires technologies like underlay device to device (D2D) communication because of its high spectral efficiency. The D2D communication feasibly increases the spectral efficiency in various heterogeneous networks (HetNws) by applying some mix zone strategies, where zone 1, 2 and 3 consists of macrocells, small cells, and D2D pairs respectively. However, these strategies often suffer from cell-edge interference and limited cell coverage. In the last part of resource allocation strategy for heterogeneous D2D communication is assessed through simulation results. © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.

Journal of Advanced Research in Dynamical and Control Systems

Development of efficient cell association and resource allocation strategies for heterogeneous D2D communication

Our project involves the generation of a path for modern driver assistant systems. It provides a cognizance of the objects ahead of the driver, which can play a major role in preventing accidents. Our algorithm is inspired from the data sets involving displacement and time. This provides the accurate position and velocity of the vehicle. To define the trajectory, polynomial equations can be used to explain this. The velocity and acceleration can be calculated according to coefficients of the polynomial equation. The number of coefficients determines the degree of the polynomial. By making use of a simulator, the trajectory generated can be studied. The objective of detection and trajectory generation is to provide a system that alerts the driver to the hurdles ahead so he/she is better placed to avoid a collision while the vehicle is moving.

Department of Control and Automation

School of Electrical Engineering

System and Architecture Advances in Intelligent Systems and Computing

Trajectory Generation for Driver Assistance System

The complexities of the automotive electronic system inside the vehicles are increasing daily. To guarantee the safe operation of vehicles, it is of great significance to acquire vehicle data in real-time to realize the real-time diagnosis of the vehicle. The role of this real-time diagnosis becomes very essential in formula student race cars. In this paper, we propose to realize a cost-effective STM32-based data acquisition system (hereinafter referred as DAS) for a formula student race car in India. DAS is generally connected to various nodes, where the vehicle data transferred from the child node (sensor nodes) to the parent node (DAS) and stored for further implementation. CAN communication protocol is used for lossless and high-speed data transmission. The acquired vehicle data are parsed and analyzed preliminarily and then the results are applied to various real-time applications. Through the implementation of a prototype system, the feasibility and effectiveness of the proposed design of this designed DAS are verified with the implementation of an Electronic Differential in a formula student race car using the data collected from the DAS and the Ackermann Geometry.

Implementation of a cost-effective data acquisition system using STM32 and can architecture for electronic differential

Journal of Advanced Research in Dynamical {\&} Control System

Intelligent, cognitive and responsive appliance control system with smart home security and automated LPG leakage control

This paper focuses on the concept of car parking detection mechanism using the ultrasonic sensor, in combination with the usage of Internet of Things i.e. sending the status of the parking slot to the Internet. Through which the user at any place in the world can see which parking slot is empty and where to park. This is done by sending the data of ultrasonic sensor through our Wi-Fi module that is ESP8266 to any open source easy to use IOT platform that uses HTTP to display our data (thingspeak.com in this case).

2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)

Automatic car parking system with visual indicator along with IoT

Edge Detection is an ever-expanding frontier in the field of Digital Image Processing. Several research papers have been published in this domain in the past decade specifying many applications of edge detection methods using platforms like MATLAB or OpenCV like Hough, Canny, Sobel, Prewitt Trans- forms among many others. In this case study, various elaborations on basic methods of edge detection have been made and their applications have been discussed in real-time. Furthermore, the performance analysis is figure out by comparison between the results of Canny Edge Detection method and Hough Transforms. © IAEME Publication.

Department of Micro and Nanoelectronics

International Journal of Mechanical Engineering and Technology

A case study: Edge detection techniques using hough transform and canny edge algorithm

Given the steadily growing importance of D2D communication, a resource allocation scheme aimed at maximizing the spectrum utilization by minimizing transmission length of D2D link is proposed. The proposed scheme illustrates the existence of RBs in time and frequency domain and performs power control within set Cellular to Device (C2D) and Device to Cellular (D2C) Constraints. Mixed integer programming (MIP) which is an NP complete problem is suggested to formulate interference issues. Proposed column generation method is the solution for NP problem which is achieved by reducing it to a pricing problem that focus to solve restricted master problem before proceeding for the next step. The pricing issue is iteratively solved by a combination of a distance based and greedy heuristic algorithm. The numerical results represented optimum minimum distance between suggested cellular user and device to device link user. © 2017 IEEE.

2017 Innovations in Power and Advanced Computing Technologies (i-PACT)

Resource management for maximum spectrum utilization in D2D cellular communication

This paper is aimed at developing a swarm unmanned aerial vehicle (UAV) network for motion in free space controlled by an algorithm depending on axis-aligned minimum bounding space, and a collision is avoided by the use of a collision-free trajectory planning algorithm depending on the position of the UAVs by implementing the optimization technique named particle swarm optimization (PSO) algorithm for intelligent features. PSO is an algorithm where each quad has its own information and also combined information of the environment due to their interaction. Wireless network was used in swarm UAVs implementation to connect to a server processor that analyses the PSO equation and controls the quadcopters. This experiment includes 3 UAVs and one object as target (Stationary and Moving).

Proceedings of the International Conference on Soft Computing Systems Advances in Intelligent Systems and Computing

PSO Algorithm in Quadcopter Cluster for Unified Trajectory Planning Using Wireless Ad Hoc Network

This paper deals with the trajectory and path generation of the industrial manipulator. The trajectory is obtained using the equations of motion and also the optimal path planning (OPP) approach under kinodynamic constraints. The optimal control problem is defined for the minimum cost function and to obtain the necessary conditions. Here we have used pontrygain's minimum principle to obtain the limiting value of joint angle and also the joint velocity and torque. In this paper we have used the “Two degree of freedom (DOF) manipulator” for analysis and designing the optimal control for multi link and multi degree of freedom manipulator. For analysis purposes, simulation software has been used to formulate the trajectory and minimize the cost function involved.