[HTML][HTML] A survey on data analysis on large-Scale wireless networks: online stream processing, trends, and challenges
In this paper we focus on knowledge extraction from large-scale wireless networks through
stream processing. We present the primary methods for sampling, data collection, and …
stream processing. We present the primary methods for sampling, data collection, and …
Beyond throughput: A 4G LTE dataset with channel and context metrics
In this paper, we present a 4G trace dataset composed of client-side cellular key
performance indicators (KPIs) collected from two major Irish mobile operators, across …
performance indicators (KPIs) collected from two major Irish mobile operators, across …
Accelerating dnn inference with reliability guarantee in vehicular edge computing
This paper explores on accelerating Deep Neural Network (DNN) inference with reliability
guarantee in Vehicular Edge Computing (VEC) by considering the synergistic impacts of …
guarantee in Vehicular Edge Computing (VEC) by considering the synergistic impacts of …
Dynamic allocation of computing and communication resources in multi-access edge computing for mobile users
The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources
distributed at the edge of mobile network. For mobile users, an optimal allocation of …
distributed at the edge of mobile network. For mobile users, an optimal allocation of …
Drone Helps Privacy: Sky Caching Assisted -Anonymity in Spatial Querying
As wireless and mobile devices are prevalent and resource-rich, users can frequently query
point-of-interests and enjoy diverse location-based services (LBSs) in infrastructure-based …
point-of-interests and enjoy diverse location-based services (LBSs) in infrastructure-based …
Load balancing for minimizing deadline misses and total runtime for connected car systems in fog computing
Cloud computing provides a pool of highly available resources for applications to use to
offload their tasks, but new applications such as coordinated lane-change assistance used …
offload their tasks, but new applications such as coordinated lane-change assistance used …
[HTML][HTML] Enhanced handover mechanism using mobility prediction in wireless networks
The rapid increase in the usage of the mobile internet has led to a great expansion of
cellular data networks in order to provide better quality of service. However, the cost to …
cellular data networks in order to provide better quality of service. However, the cost to …
Minimizing deadline misses and total run-time with load balancing for a connected car systems in fog computing
Cloud computing helps in providing the applications with a few number of resources that are
used to unload the tasks. But there are certain applications like coordinated lane change …
used to unload the tasks. But there are certain applications like coordinated lane change …
Optimizing Mobility-Aware Task Offloading in Smart Healthcare for Internet of Medical Things Through Multi-Agent Reinforcement Learning
In the scenario of smart healthcare applications, the Internet of Medical Things (IoMT)
devices, equipped with limited resources, would offload numerous computation-heavy tasks …
devices, equipped with limited resources, would offload numerous computation-heavy tasks …
Optimized access point selection with mobility prediction using hidden Markov model for wireless network
Access point selection is an issue frequently faced by mobile user due to constant
movement. By connecting to the best Wireless Local Area Network (WLAN) Access Point …
movement. By connecting to the best Wireless Local Area Network (WLAN) Access Point …