UAV-aided Data Collection in Self Organized IoT Network for Social Augmented Reality

To realize a seamlessly connected living in smart city is an attractive topic nowadays. With the help of massive machine type communication (mMTC) technology and drone-based networking strategy, we can create ubiquitous computing framework which is both agile and green. In this paper, we propose a cooperative data collecting mechanism in unmanned aerial vehicle (UAV) covered internet of things (IoT) community, aiming at delay-sensitive context information update and system energy efficiency (EE) optimization. To better collect small and fragmentized IoT data scattering around, we first propose a self-organizing algorithm to compress them into a hotspot area and derive the theoretical collecting efficiency (CE) therein. Then, a system EE maximizing power control algorithm is proposed, exploiting cooperative communication theory. When dealing with this highly non-convex programming problem, we look carefully into its Hessian matrix and prove that under two physically meaningful conditions, the modified problem can be turned into a strictly concave one and tractably solved. Finally, a social augmented reality (AR) use case is proposed and tested with our mechanism. Simulation results validate our analysis and demonstrate nearly 20% improvement in EE performance comparing with benchmark solutions.