|
|
|
|
|
Konstantin Gaipov, Daniil Tausnev, Sergey Khodenkov, Natalya Shepeta, Dmitry Malyshev, Aleksey Popov and Lev Kazakovtsev
Rapid growth in the volume of transmitted information has lead to the emergence of new wireless networking technologies with variable heterogeneous topologies. With limited radio frequency resources, optimal routing problems arise, both at the network de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Puya Li and Chunchang Zhang
Aiming at the communication network optimization problem of the Internet of Inland Vessels, this work presented a network model and deployment strategy with shore-based cooperative units as network nodes. Firstly, the system architecture and communicatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jifeng Zhu, Xiaohe Pan, Zheng Peng, Mengzhuo Liu, Jingqian Guo and Jun-Hong Cui
The establishment of the Underwater Internet of Things (UIoT) and the realization of interconnection between heterogeneous underwater intelligent devices are urgent global challenges. Underwater acoustic networking is the most suitable technology to achi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinyi Meng and Daofeng Li
The explosive growth of malware targeting Android devices has resulted in the demand for the acquisition and integration of comprehensive information to enable effective, robust, and user-friendly malware detection. In response to this challenge, this pa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuyan Zheng, Jianhua Qu and Jiajia Yang
Similarity measures in heterogeneous information networks (HINs) have become increasingly important in recent years. Most measures in such networks are based on the meta path, a relation sequence connecting object types. However, in real-world scenarios,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kyle DeMedeiros, Chan Young Koh and Abdeltawab Hendawi
The Chicago Array of Things (AoT) is a robust dataset taken from over 100 nodes over four years. Each node contains over a dozen sensors. The array contains a series of Internet of Things (IoT) devices with multiple heterogeneous sensors connected to a p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Panagiotis Gkonis, Anastasios Giannopoulos, Panagiotis Trakadas, Xavi Masip-Bruin and Francesco D?Andria
The rapid growth in the number of interconnected devices on the Internet (referred to as the Internet of Things?IoT), along with the huge volume of data that are exchanged and processed, has created a new landscape in network design and operation. Due to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde and Daniele Tarchi
With the advent of 6G technology, the proliferation of interconnected devices necessitates a robust, fully connected intelligence network. Federated Learning (FL) stands as a key distributed learning technique, showing promise in recent advancements. How...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luis F. Gonzalez, Ivan Vidal, Francisco Valera, Raul Martin and Dulce Artalejo
Microservices have become promising candidates for the deployment of network and vertical functions in the fifth generation of mobile networks. However, microservice platforms like Kubernetes use a flat networking approach towards the connectivity of vir...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sunil Dutt, Ashwani Kumar and Shivendra Singh
The linkage between metal nodes and organic linkers has led to the development of new porous crystalline materials called metal?organic frameworks (MOFs). These have found significant potential applications in different areas such as gas storage and sepa...
ver más
|
|
|
|
|
|