Decision Based Data Routing for Drone-Enabled Internet of Things

Abstract

New technologies and communication standards have changed the traditional networks processes. Internet of Things (IoT) is one of the emerging technology where the devices are connected with each to facilitates the users. When the networks are more congested due to large number of users at IoT networks then the existing routing protocol and communication channel have suffered with congestion, disconnection, overhead and packet drop issues. Unmanned Aerial Vehicles (UAVs) are adopted to support the ground networks for more feasible data communication. These networks provide coverage facilities to IoT networks which are suffered with congestion issues. Use of the relay and cooperative communication technologies, UAVs could enlarge the appropriate insurance place of IoT. New technologies and communication standards have changed the traditional networks processes. The traditional Mobile Ad hoc Network (MANET) and other static networks routing protocols have adopted for data communication in these networks. These protocols have suffered with various routing issues. In this thesis, we propose a Decision based Routing for Unmanned Aerial Vehicles and Internet of Things (DR-UAVIoT) based on decision criteria for IoT networks. The proposed protocols are categorized into two main types UAV-to-IoT and UAV-to-UAV Data communication. The simulation is adopted to test the proposed solution in terms of data delivery, delay, and network overhead. The proposed protocol is also tested with existing protocols AODV and GyTAR to check its performance. The results indicated the better performance of proposed protocol as compared with existing routing protocols