Biography

Guanting Ren is a second-year postgraduate, studying Master of Information Technology and Information Technology management majoring in data analysis at the University of Sydney. Guanting likes to build something innovative using what he has learned. With one multi-functional drone that he built as an undergraduate, he won the 2^nd prize of Microsoft Imagine Cup 2017. Guanting is interested in Machine Learning, Computer Vision, Robotics, and Data Science.

Project Title:

Efficient Drone Delivery in a Multi-Drone Skyway Network

Project Description:

Drones are a new type of IoT devices that offer cost-effective and fast delivery services. The potential utilization of drones is limited by payload capacity and battery consumption constraints. Drones may need multiple times of recharge for persistent delivery operation. The drone delivery environment is highly constrained because the availability of recharging stations is not guaranteed. We leverage the service paradigm to address the key challenges in delivery by drones. The functional and non-functional properties of drones are abstracted as Drone-as-a-Service (DaaS). The drone services operate in a skyway network which is constructed by linking the skyway segments. Each skyway segment connects two nodes which are the rooftops of the high-rise buildings. Each node is assumed to be a recharging station or a delivery target. Given a source and a destination, the objective of this project is to use a trajectory dataset that considers the battery limitations and availability of pads on recharging stations for predicting the arrival of drones at certain stations in a multi-drone network and help in computing the best skyway segments leading to the destination.