Distributed processing of large-scale graph data has many practical applications and has
been widely studied. In recent years, a lot of distributed graph processing frameworks and …

Mobile Edge Cloud Computing (MECC) has becoming an attractive solution for augmenting
the computing and storage capacity of Mobile Devices (MDs) by exploiting the available …

In this article, we explore a new design paradigm of duty-cycling mechanism that supports
low-power devices to fully turn channel contention into transmission opportunities. To …

A fundamental problem in the design of wireless networks is to efficiently schedule
transmission in a distributed manner. The main challenge stems from the fact that optimal …

Investigating the maximum independent set in stochastic multilayer graphs provides critical
insights into the structural and dynamical properties of complex networks. Recently …

Recently, to cope with the ever-growing traffic volumes and network services in the Internet,
the coherent point-to-multipoint transceivers (P2MP-TRXs) enabled by digital subcarrier …

Efficient scheduling of transmissions is a key problem in wireless networks. The main
challenge stems from the fact that optimal link scheduling involves solving a maximum …

Toward better approximation for the minimum-weighted vertex cover (MWVC) problem in
multiagent systems, we present a distributed algorithm from the perspective of learning in …

In this paper, we present the Learning Greedy Link Scheduling (LGLS) algorithm, a novel
approach for optimizing link scheduling in wireless networks. By integrating deep learning …

Wireless communication is now a cornerstone of modern society, propelled by the
widespread adoption of IoT devices and sophisticated wireless technologies. As wireless …