Titlebook: Wireless Algorithms, Systems, and Applications; 15th International C Dongxiao Yu,Falko Dressler,Jiguo Yu Conference proceedings 2020 Spring

教義

善變

A Novel Blockchain Network Structure Based on Logical Nodesgreat challenges. For the traditional blockchain structure, each peer node of blockchain network stores exactly the same content, which leads to strong data redundancy and excessive storage capacity is wasted. In this paper, we propose a novel blockchain network structure to reduce the storage occup

粘連

Dynamic Distribution Routing Algorithm Based on Probability for Maritime Delay Tolerant Networksof communication between ships will rapidly decline. Compared with the high cost of using satellite communication, this paper applies Delay Tolerant Networks (DTNs) to ship communication and proposes a Dynamic Distribution Routing Algorithm Based on Probability (DDPR), which selects the appropriate

友好關(guān)系

Learning-Aided Mobile Charging for Rechargeable Sensor Networksthe optimal cycle in a RWSN on the basis of . (TSP), to drive a . (MC) to periodically visit and charge the rechargeable sensor nodes. In this paper, by taking into account the uncertainties of the travel costs among the rechargeable sensor nodes, we investigate the so-called . (SMC) problem, where

gregarious

注射器

Multi-job Associated Task Scheduling Based on Task Duplication and Insertion for Cloud Computing of each job are run on different nodes, and communication is required to transfer data between nodes. The processing and communication capacities of different components have great heterogeneity. For multiple jobs, simple task scheduling policies cannot fully utilize cloud resources and hence may d

enumaerate

不透明

Approximation Algorithm for the Offloading Problem in Edge Computinglity of service and the efficiency of the system. In most previous works on the offloading problem, the communication costs between tasks on both cloud side or the edge side are often ignored. We consider a general offloading model where the communication costs between any two tasks is non-zero and

Urea508

Quality of Service Optimization in Mobile Edge Computing Networks via Deep Reinforcement Learningclose proximity to mobile users with low latency. In this paper, we propose an online double deep Q networks (DDQN) based learning scheme for task assignment in dynamic MEC networks, which enables multiple distributed edge nodes and a cloud data center to jointly process user tasks to achieve optima

Genteel

Camera Style Guided Feature Generation for Person Re-identificationthe camera variance problem by data augmentation through generative models. However, these methods, mostly based on image-level generative adversarial networks (GANs), require huge computational power during the training process of generative models. In this paper, we propose to solve the person re-