AAIoT: Accelerating artificial intelligence in IoT systems
Existing deep learning systems in the Internet of Things (IoT) environments lack the ability of
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …
Heterogeneous mobile networking for lightweight UAV assisted emergency communication
Due to the frequent natural disasters in recent two years, UAV assisted disaster networks
have attracted attention due to the flexible information storage and favorable computation …
have attracted attention due to the flexible information storage and favorable computation …
Statistical model for mobile user positioning based on social information
In spite of the vast set of measurements provided by current mobile networks, cellular
operators have problems pinpointing problematic locations because the origin of such …
operators have problems pinpointing problematic locations because the origin of such …
A review on energy optimization in location-based services for 5G and IoT networks
SPS Prakash, V Varsha - … Journal of Embedded and Real-Time …, 2021 - igi-global.com
Fifth generation mobile technology (5G) targets to meet user demands in terms of improved
capability, increased data rate, and best value of service. In order to meet these demands …
capability, increased data rate, and best value of service. In order to meet these demands …
A new node centrality evaluation model for multi-community weighted social networks
J Li, L Yu, J Zhao, C Wen - 2017 IEEE 86th Vehicular …, 2017 - ieeexplore.ieee.org
Identifying key nodes is an important research issue in social networks. Most of current
social networks are weighted networks as well as consist of multiple communities. A suitable …
social networks are weighted networks as well as consist of multiple communities. A suitable …