EFFICIENT QUALITY OF SERVICE (QOS) PROVISIONING IN INTERNET OF INTELLIGENT VEHICLES (IOIV)

Abstract

Vehicular communication is considered to be the integral part of smart cities. Furthermore, self-driven cars imposes the stringent challenges in terms of capacity, delay and mobility. Recently, internet of intelligent vehicle (IoIV) is emerged as the promising solution self-driven vehicles. Considering the diversity of data required and generated through IoIV nodes in terms of real-time and non-real time traffic, there is a need of efficient and intelligent communication platform to cater the stringent demands of IoIV traffic. Therefore, In this thesis, we developed an intelligent channel allocation algorithm which cater the demands of heterogeneous IoT nodes considering their minimal quality of service (QoS) requirements in terms of data rate, reliability and latency. We first formed the classes based on their traffic types and then allocated the channels considering their minimal QoS requirements. For classification we propose a novel two-tie classification model. Under our proposed model, an IoIV node can also have a secondary communication platform in case when the primary communication systems fails to provide communication channel for the transmission. Our designed system is able to achieve better performance in terms of reliability, delay and throughput. In addition, our system ensures the availability of routing path for big data information.