Chuan Lin

TL;DR: A composite architecture that integrates space and terrestrial network components for providing anytime anywhere communications is presented by utilizing the software defined networking and mobile edge computing paradigms, which not only facilitates the network management and increases network flexibility, but also provides improved quality of service for global multimedia services.

TL;DR: This article proposes a novel software-defined-networking-based fog computing architecture by decoupling mobility control and data forwarding to provide seamless and transparent mobility support to mobile users, and presents an efficient route optimization algorithm by considering the performance gain in data communications and system overhead in mobile fog computing.

TL;DR: This work proposes to introduce fog computing into vehicular networks and define the Multiple Time-constrained Vehicular applications Scheduling (MTVS) issue, and introduces a Fog-based Base Station and proposes a Software-Defined Networking (SDN)-enabled architecture dividing the networks into network, fog, and control layers.

TL;DR: A hierarchical data collection scheme, by which nodes in different layers are adaptively clustered, and the UAV can be scheduled to perform energy-efficient data collection, toward the realization of unmanned aerial vehicle (UAV)-aided industrial wireless sensor networks.

TL;DR: This article will prove such spatiotemporal features of traffic congestion can be forecasted, and the path for the delay-sensitive urban traffic can be accurately planed before the traffic is started, and propose a polynomial-time path planning algorithm that can seek for a congestion-aware path to schedule the traffic within a given time threshold.