A fabric system oriented cluster algorithm to implement a smart IOV environment

Abstract

The Internet of Vehicles (IOV) is a comprehensive architecture for wireless communications between vehicle to vehicle, vehicle to human, vehicle to the road, and vehicle to the Internet. It allows vehicles to share information, efficiency, and safety with others as well as infrastructures using Vehicular Ad-Hoc Networks (VANET). This integration of VANET with the Internet of Things (IoT) has made the concept of IoV an emerging technology for smart cities for reducing car accidents, increasing car safety, creating an eco-friendly system and more. Being a young technology, it comes with a variety of challenges and among them, the routing protocols are a significant one that has been focused in this work. The routing protocols have been designed concerning the IoT architecture and not IoV which offers a significant challenge in routing packets as vehicle acting nodes are mobile and continuously changing position making their data to vary instantaneously and periodically. This leads to inefficient delivery of data packets from one source position to their destination. If a packet data is transferred efficiently, then it is not effective in delivery rate; failing in long-distance data transmission or a long delay in transmission. Routing protocols that are both efficient and effective require huge monetary investment. Keeping in mind all three factors - efficiency, effectiveness, and monetary resource utilization, we proposed a clustering algorithm that is based on the weight of a particular node, and also GPS positioning of all vehicle nodes will be used. The modern age has gifted us with vehichles; such as drones, cars etc; that are fitted with communication sensors. We believe that our research on clustering algorithms will provide a solution to one of the challenges of the IoV infrastructure and would help reduce the cost significantly. Overcoming these challenges will be a big step for not only the automotive industry but would also provide a new vision in communication technology. We believe it would help in generating new revenues contributing to the global economy