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Summary Technologies are advancing at a rapid rate in the current era. People are advancing with the advancement of technologies, be it in education industry, health industry, and providing luxury. With the advent of autonomous luxury‐in‐motion car that provides in‐car‐entertainment (ICE), vehicular communication is the prerequisite towards achieving this goal. Dedicated short range communication (DSRC) is a matured vehicular communication standard, and Long‐Term Evolution (LTE) is the most competing technologies in the cellular communication. In this paper, we focus on the uplink performance of the LTE‐DSRC hybrid infrastructure. The basic transmission scheme for uplink direction is based on single carrier transmission in the form of discrete Fourier transform (DFT)‐spread Orthogonal Frequency Division Multiplexing (OFDM) with a minimum mean square error (MMSE) receiver at the LTE Evolved Node B (eNodeB) and a DSRC OFDM transmitter. A comprehensive bit error rate (BER) performance simulative study has been made on a color image transmission in uplink hybrid LTE‐DSRC system, and the results obtained are encouraging that the proposed convergence is possible, as it provides a substantial decrease in the BER with a gradual increase in the signal ‐to‐ noise ratio Signal to Noise Ratio (SNR).

Quick progressions in the improvement of intelligent and smart machines and parallel advancement of technologies in the field of wireless communication have achieved more prominent statures. However, certain issues still pertain when one tries to develop a hybrid network. A heterogeneous vehicular network is developed with the idea of utilizing the readily available infrastructures such as long-term evolution and dedicated short-range communication, which is economically profitable. We discussed some of the issues that arise when we converge dedicated short-range communication and long-term evolution and addressed certain issues such as creating a link to communicate between two different technologies that can be achieved by considering the baseband implementations of the two technologies in the physical layer and Media Access Control (MAC) levels. The efficiency of the system is observed at three distinguish multimedia transmission where a text file, audio file, and an image file are transmitted and the system’s performance is observed by analyzing the bit error rate vs signal-to-noise ratio for each of the files. The results obtained justified that it is possible to create a heterogeneous vehicular network (HetVNet) even with the presence of certain elements diversities in the characteristics of long-term evolution and dedicated short-range communication.

Rapid advancements in hardware programming and communication innovations have encouraged the development of internet-associated sensory devices that give perceptions and information measurements from the physical world. According to the internet of things (IoT) analytics, more than 100 IoT devices across the world connect to the internet every second, which in the coming years will sharply increase the number of IoT devices by billions. This number of IoT devices incorporates new dynamic associations and does not totally replace the devices that were purchased before yet are not utilized any longer. As an increasing number of IoT devices advance into the world, conveyed in uncontrolled, complex, and frequently hostile conditions, securing IoT frameworks displays various challenges. As per the Eclipse IoT Working Group's 2017 IoT engineer overview, security is the top worry for IoT designers. To approach the challenges in securing IoT devices, the authors propose using unsupervised machine learning model at the network/transport level for anomaly detection.

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