Xiaoyan Wang

TL;DR: The architecture of MEC for H-IoT covers three-level advanced functional entities, including moblie edge (ME) system-level, ME host-level and ME network- level, and the privacy issues in the MEC are drawn into focus.

TL;DR: The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node and a reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly.

TL;DR: A novel network coding aware cooperative MAC protocol, namely NCAC-MAC, for wireless ad hoc networks is proposed, which can improve the network performance under general circumstances comparing with two benchmarks.

TL;DR: A novel cross-layer distributed energy-adaptive location-based CMAC protocol for Mobile Ad-hoc NETworks (MANETs), which significantly prolongs the network lifetime under various circumstances even for high circuitry energy consumption cases by comprehensive simulation study.

TL;DR: A novel task offloading framework for air-ground integrated vehicular edge computing (AGI-VEC) is developed, which is called the learning-based Intent-aware Upper Confidence Bound (IUCB) algorithm, which enables a UV to learn the long-term optimal task offload strategy while satisfying the long -term ultra-reliable low-latency communication (URLLC) constraints in a best effort way under information uncertainty.