Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks by Yang Yang, Rui Lyu, Zhipeng Gao, Lanlan Rui, Yu Yan

“…In this paper, a semisupervised graph neural network traffic classifier is proposed for cloud-edge architecture so that cloud servers and edge nodes could cooperate to perform the traffic classification tasks in order to deliver low latency and save bandwidth on the edge nodes. …”
Get full text

Radio and Radial Radio Numbers of Certain Sunflower Extended Graphs by Mohammed K. A. Kaabar, Kins Yenoke

“…In this research work, the relationship between the radio number and radial radio number is studied for any connected graph. Then, several sunflower extended graphs are defined, and the upper bounds of the radio number and radial radio number are investigated for these graphs.…”
Get full text

Peningkatan Performa Komputasi Sistem Navigasi Transportasi Publik Pada Perangkat Bergerak Melalui Penerapan Teknik Kompresi Data dan Penyederhanaan Graf by Aryo Pinandito, Agi Putra Kharisma, Muhammad Aminul Akbar, Mochamad Chandra Saputra

“…The plans are generated from the implementation of Dijkstra's algorithm, which is modeled in the graph data structure. This study determines the effectiveness of using JSON format, the bandwidth saved for distributing data on the Internet from Zlib data compression and Base64 encoding, and analyzes additional memory usage due to compression and the impact of data simplification through a visual approach on transport network graphs with the Douglas-Peucker algorithm. …”
Get full text

Uncertainty analysis of linear and non-linear regression models in the modeling of water quality in the Caspian Sea basin: Application of Monte-Carlo method by Sahar Heidari Masteali, Mahmoud Bayat, Pete Bettinger, Mansour Ghorbanpour

“…The results indicated that the CO3 model had the lowest uncertainty bandwidth and the highest R2 among other models. Additionally, the K models had less bandwidth than the other models developed. …”
Get full text

An Energy-Efficient Multisite Offloading Algorithm for Mobile Devices by Ruifang Niu, Wenfang Song, Yong Liu

“…Moreover, our proposed EMSO algorithm adopts the multi-way graph partitioning based algorithm to solve it. Experimental results demonstrate that our algorithm can significantly reduce more energy consumption as well as execution time and better adapt to the unreliability of wireless networks (such as the network bandwidth changes), compared with the existing algorithms.…”
Get full text

FSB-DReViSeR: Flow Splitting-Based Dynamic Replacement of Virtual Service Resources for Mobile Users in Virtual Heterogeneous Networks by Jean Frédéric Myoupo, Vianney Kengne Tchendji, Yannick Florian Yankam, Joël Casimir Tagne

“….), exploit various amounts of resources (bandwidth, computing power, servers, etc.), and have topologies different from those of the substrate network. …”
Get full text

NOMA-Based Rate Optimization for Multi-UAV-Assisted D2D Communication Networks by Guowei Wu, Guifen Chen, Xinglong Gu

“…With the proliferation of smart devices and the emergence of high-bandwidth applications, Unmanned Aerial Vehicle (UAV)-assisted Device-to-Device (D2D) communications and Non-Orthogonal Multiple Access (NOMA) technologies are increasingly becoming important means of coping with the scarcity of the spectrum and with high data demand in future wireless networks. …”
Get full text