Luoyi Fu

TL;DR: An extensive experiment involving thousands of operational taxies in Shanghai city establishes an exponential model that can accurately depict the tail behavior of the inter-contact time in VANETs and provides fundamental guidelines on design of new vehicular mobility models in urban scenarios, new data forwarding protocols and their performance analysis.

TL;DR: A model of dynamic rumor influence minimization with user experience (DRIMUX) is proposed, aiming to minimize the influence of the rumor by blocking a certain subset of nodes by taking into account the constraint of user experience utility.

TL;DR: By analyzing a simplified mobility model that captures the effect of hot areas in the city, it is rigorously proved that common traffic influxes play a major role in generating the exponential tail of the intercontact time.

TL;DR: In this article, a model of dynamic rumor influence minimization with user experience (DRIMUX) is proposed to minimize the influence of the rumor by blocking a certain subset of nodes.

TL;DR: OLCD, an Online Learning-aided Cooperative offloaDing mechanism under the scenario where computation offloading is organized based on accumulated social trust is proposed, theoretically proving that OLCD guarantees close-to-optimal system performance even with inaccurate prediction, but its robustness is achieved at the expense of decreased stability.