International Journal of Innovative Research in Physics (IJIIP)
(ISSN Number(Online) - 2687-7902)
(ISSN Number(Print) - 2689-484X)





Volume2,Issue2:



A comprehensive survey on 5G enabled edge assisted Intelligent Internet of Things framework: issues and challenges

Samiran Datta1,*, Sabarna Ghosh Dastidar2 and Soumyanil Biswas3

1Department of Electronics and Communication Engineering, Institute of Engineering and Management, D1 Management House, Salt Lake, Sector V, Kolkata-700091, West Bengal, India.
2Department of Electrical Engineering, Institute of Engineering and Management, D1 Management House, Salt Lake, Sector V, Kolkata-700091, West Bengal, India.
3Department of Basic Science and Humanities, Institute of Engineering and Management, D1 Management House, Salt Lake, Sector V, Kolkata-700091, West Bengal, India.
Page Number: 1-8

Wireless communication has grown to be one of the most demanded technologies of today and is important in digitalization and ultimately will contribute to the building of a smart society. With the rapid growth of the mobile internet, Fifth Generation (5G) wireless networks are expected to provide 1000 times the data throughput of what we experience today. With the advancement in IoT technology, more devices are being connected to each other and this massive connectivity needs to be supported by 5G. This paper provides an in-depth overview on 5G I-IoT, then related components are introduced, the interaction among them, the techniques used, namely big-data mining, deep-learning and reinforcement learning. Then the role of Augmented Reality and 5G edge computing in IoT is discussed. The focus shifts to the widespread applications of IoT in our daily-lives ranging from full-fledged smart homes to industrial machines and smart cars. Finally the paper concludes with the advantages and limitations related to 5G IoT such as security, trust management and privacy.
Keywords: Edge computing, 5g wireless network, IoT, Deep learning.


DOI: doi.org/10.15864/ijiip.2201

Some Studies on K-essence Lagrangian

Somnath Mukherjee1, 2, *

1Department of Physics, Dharsa Mihirlal Khan Institution (H.S), G.I.P Colony, Howrah-711112, India.
2Kalpana Chawla Centre for Space and Nano Sciences (KCCSNS), Kolkata700010, India.
Page Number: 9-14

K-essence Lagrangian is studied in the context of an early universe epoch when t՜ Ͳ. Equation of state parameter w < -1 as well as deceleration parameter ݍ ൏ ଴െͳ, indicates an accelerated expansion of the universe at an early epoch of time driven by negative pressure generated by dark energy.
Keywords: K−essence , Lagrangian, Dark energy, Equation of state, Deceleration parameter.

DOI: doi.org/10.15864/ijiip.2202

Lifi wireless communication

Hritik Raj1, Charu Mitra1, Gauri Shankar1, Chandan Kumar1, and Harsh Raj1

1Institute of Engineering and Management, Kolkata-7000911
Page Number: 15-18

Li-Fi stands for Light-fidelity. The technology was very new and proposed by the German Physicist Harald Hass in 2011. Li-Fi basically aims to replace Wi-Fi by using light to transmit internet signals. It works on the principle of visible light communication I.e .use of visible light for communication. Though Li-Fi is a system that is capable of transmitting data at high speeds over the visible light, ultraviolet and infrared spectrum but in its present state only LED lambs can be used. It consists of a light bulb which is used as an emitter and a photo diode as a receiver. Li-Fi provides transmission of data through an LED light bulb that varies in intensity faster than human eye can follow .It is ideal for high density wireless data coverage in confined area where there is no obstacle. It provides better bandwidth efficiency, availability& security than wifi. The technology is actively being developed by several organizations across the globe. In this project we tried to show a basic prototype of wireless data transmission using LiFi and what future it holds within itself for the new generation needs
Keywords: Transmission , Microcontroller, Hyperterminal, Spectrum, Efficiency


DOI: doi.org/10.15864/ijiip.2203

A Real time Obstacle Detecting and Avoiding Car

Akash Das1,*, Avishek Ray2, and Animesh Chandra1

1Department of Electronics and Communication Engineering, Institute of Engineering and Management, Kolkata-700091
2Post Doctoral Fellow, Dept of Energy Sc and Engineering, IIT Bombay
Page Number: 19-26

An important function in self-driven cars is Obstacles Avoidance. Mapping the environment is indeed necessary for such vehicle to make a path planning and control. In this project we have concentrated on making an obstacle avoider, sensing the surrounding by using SONAR principle. This system provides a low cost replacement of LIDAR and SLAM technology. It is quite accurate to avoid obstacle in real time.
Keywords: detection, obstacle, avoiding, SONAR, real time, low cost, solution.


DOI: doi.org/10.15864/ijiip.2204

Robotic car controlled by voice

Ditipriya Seal1,*, Himeli Pandi1, Lagnajita Shome1, and Niyali Mukherjee1

1Department of Basic Science and Humanities, Institute of Engineering and Management, Saltlake, Kolkata-700091

Page Number: 27-36

Robot reduces the efforts being put by humans in their day to day works. This paper is about to develop voice-controlled robotic car. This robotic vehicle helps to control robot through voice commands which is being received via android application. In the receiver part there would be a Bluetooth transceiver module which will receive the commands and will pass it on to the robotic car through Arduino. The robotic car will move in all directions according to voice commands given by the user. After processing the speech into text it will convert into text which will led to the necessary motion instructions are given to mobile platform via RF link. Ultrasonic sensors interfaced with Arduino will help in automatic slowdown whenever it sees an obstacle. In future technology this technique may prove to be a milestone in vehicle and for long distance range, Dual tone Multi Frequency (DTMF).
Keywords: Bluetooth transceiver, Arduino, RFlink, vehicle automation, DTMF.


DOI: doi.org/10.15864/ijiip.2205