C. Suganthi Evangeline

Providing seamless connectivity during transit in vehicular ad hoc networks (VANETs) is the most promising and challenging task. In VANET, the vehicles are able to communicate with other vehicles and also with the infrastructure units such as road side unit (RSU). The coverage range of RSU is not sufficient to cover the whole road. The vehicle can drive to an area which is not covered by any of the RSUs, and it is termed as congested zone (CZ). This will extremely lead to traffic congestion and maximize blocking probability. In order to provide connectivity between the road segments and to avoid long delay in message transmission, unmanned aerial vehicles (UAVs) are placed in CZs, which act as relay nodes. To enhance the connectivity of the vehicles, a fuzzy-based UAV-assisted handoff scheme (F-UAV-HO) is proposed in this work. By adopting fuzzy, the unwanted participation of UAV is limited in non-congested traffic, thereby saving the battery resource. To validate the proposed work, the simulations are executed in Network Simulator 2.35. The proposed system outperforms other conventional UAV-assisted schemes in congested traffic in terms of average end-to-end delay, PDR and throughput.

In intelligent vehicular networks, vehicles should be able to communicate with their surroundings while traveling. This results in more efficient, safer, and comfortable driving experiences, as well as new commercial prospects in a variety of industries. Connected vehicles and autonomous vehicles expect 100% reliable connectivity without any compromise in quality. However, due to challenges such as difficult channel terrains in urban scenarios and dead zones, the reliability of current vehicle-to-infrastructure (V2I) and vehicle-to-vehicle communication systems cannot be guaranteed. The performance of vehicular networks can be considerably enhanced with reconfigurable intelligent surfaces (RIS). Non-orthogonal multiple access (NOMA) allows for massive connectivity with the surroundings. In vehicular networks, the RIS-assisted NOMA can ensure regulated channel gains, better coverage, throughput, and energy efficiency. In this work, a blind RIS-assisted fixed NOMA (FNOMA) system is proposed for a downlink V2I scenario. The closed-form analytical outage probability and throughput expressions are derived by considering RIS as an intelligent reflector and as a roadside unit. It is observed that the analytical and Monte Carlo simulation results are closely related. In simulations, it has been discovered that RIS-assisted FNOMA outperforms the traditional NOMA variants in terms of outage and throughput. Even without precise channel knowledge, blind RIS transmission outperforms traditional NOMA variants due to huge array gain. The increase in the number of reflective elements also results in a significant improvement in signal-to-noise ratio gains.

The majority of Internet of Things (IoT)connected entities are most concerned about security. The data may be consumer, business, or personal. Security should be viewed as a major difficulty in order to deploy the smart door lock (SDL) in a way that is acceptable. This author's objective is to research and evaluate a set that can be used to create a smart door lock that provides high security, simple access, and control. The security and privacy of IoT technologies are a significant problem for this project. In order to improve the lock mechanism by tying it to the internet, making it more durable, effective, and innovative, the paper will present a thorough examination into the security and privacy of IoT devices. The proposed model is designed with triple ways to provide access for the secure storage system. The biometric method, password method and cloud-based access control is designed. It can be implemented for any means of security mechanisms such as document storage, bank lock, asset vault etc. The proposed model is done with real time experimental set up and time to take decision to provide access or not is only accomplished with fraction of minute.

The purpose of this paper is to design a greenhouse monitoring system (GHMS) which helps the cultivator to monitor environment and control the sensor values by means of feedback mechanism. The methodology involves the combination of six sensors which gives the values of the environment such as temperature, humidity, moisture, obstacle entry, pH and light. The sensor values are analyzed and sent to cloud using Wi-Fi module which enables the online monitoring, displays the values of the sensor in liquid crystal display (LCD) and also send alert mail and messages. The results are obtained and the values are updated in cloud and webpages. This design enables the cultivator to protect the greenhouse environment both online and also offline. In addition to it also gives the alert about any intruder or animals crossing the cultivation area. Thereby the soil parameters, environmental conditions and intruder entry are included in the proposed work. The proposed work of GHMS provides the low cost framework to sense the environment parameters such as temperature, humidity, moisture, light and pH. It also protect the environment of greenhouse from animal attacks using an infrared (IR) obstacle sensor. The sensor values are updated in cloud and messages is sent through Global System for Mobile Communication (GSM) module which is a cost effective one. The need of al-time internet connection is overcome by sending messages.