Paper Title
Smart Safety Enhancement and Parking for Vehicles Using Software Defined Iot Network

Abstract
The number of road accidents are increasing day by day. Also the number of causalities are increasing drastically because of not wearing helmets and seatbelts. There is a demand to develop a safety system that allows the drivers to start the vehicle only if the helmet or seatbelt is worn. Ensuring if the seat belt and helmet are worn, then only the vehicle is powered to start by developing a smart system based on Node MCU. When the number of vehicles connected to the network is large, the management of the network and decision making become complex. One of the solution for the above problem is Software Defined IoT Networks. SDN is an effective solution to manage and to secure IoT based systems for remote access. SDN attempts to build a scalable and flexible network by separating the intelligence from the hardware. Some of the challenging issues such as latency, congestion, security problems can be managed by SDN with its ability to transform the traditional network paradigm into an adaptable dynamic network. Without any congestion and bottlenecks the smart vehicle parking is developed by SD IoT network. Keywords - Smart Helmet, Parking, Shortest Path Algorithm, SD Iot