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A Demand-Driven Incremental Deployment Strategy for Edge Computing in IoT Network
(
IEEE Computer Society
, 2022 , Article)
Edge Computing brings great opportunities to enable the Internet of Things (IoT) vision. But the physical edge server deployment problem still poses a major challenge, which dramatically affects the service ability and ...
Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference)
5G networks are designed not only to transport data, but also to process them while supporting a vast number of services with different key Performance Indicators (KPIs). Network virtualization has emerged to enable this ...
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
(
IEEE Computer Society
, 2022 , Article)
The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ...
Improve the reliability of 6G vehicular communication through skip network coding
(
Elsevier Inc.
, 2022 , Article)
One important design goal of 6G networks is adapting to complex heterogeneous scenarios and providing a stable and reliable transmission channel for specific applications such as vehicular communication. To achieve this, ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
(
Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment
(2021 , Article)
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation, agriculture, rescue operations, natural environment mapping, and many other allied domains has increased exponentially during the ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
Profit Maximization of Online Service Function Chain Orchestration in an Inter-Datacenter Elastic Optical Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
To meet the increasing traffic demands characterized by large bandwidth and high burstiness, more traffic has been moving to inter-datacenter elastic optical networks (inter-DC EONs) for processing. The integration of two ...
SDN Controllers: A Comprehensive Analysis and Performance Evaluation Study
(
Association for Computing Machinery
, 2021 , Book Review)
Software-defined networks offer flexible and intelligent network operations by splitting a traditional network into a centralized control plane and a programmable data plane. The controller in the control plane is the ...
Offloading Time Optimization via Markov Decision Process in Mobile-Edge Computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Computation offloading from a mobile device to the edge server is an emerging paradigm to reduce completion latency of intensive computations in mobile-edge computing (MEC). In order to satisfy the delay-sensitive computing ...