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DLRT: Deep learning approach for reliable diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin ...
A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
(
MDPI
, 2020 , Article)
Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ...
Access Control Schemes for Implantable Medical Devices: A Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Implantable medical devices (IMDs) are electronic devices implanted within human body for diagnostic, monitoring, and therapeutic purposes. It is imperative to guarantee that IMDs are completely secured since the patient's ...
An incentive mechanism for data sharing based on blockchain with smart contracts
(
Elsevier
, 2020 , Article)
© 2020 Data sharing techniques have progressively drawn increasing attention as a means of significantly reducing repetitive work. However, in the process of data sharing, the challenges regarding formation of mutual-trust ...
A review of security challenges, attacks and resolutions for wireless medical devices
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Evolution of implantable medical devices for human beings has provided a radical new way for treating chronic diseases such as diabetes, cardiac arrhythmia, cochlear, gastric diseases etc. Implantable medical devices have ...
Blockchain-Based Distributed Energy Trading in Energy Internet: An SDN Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The new network paradigm of Software Defined Networking (SDN) has been widely adopted. Due to its inherent advantages, SDN has been widely used in various network fields such as data centers, WAN, enterprise, Optical ...
Dual-polarized spatial-temporal propagation measurement and modeling in uma o2i scenario at 3.5 GHz
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Outdoor-to-indoor (O2I) coverage in urban areas by using the sub-6 GHz (sub-6G) band is important in the fifth generation (5G) mobile communication system. The spatial-temporal propagation characteristics in different ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
Quantifying caching effects in urban VANETs
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Most applications in urban Vehicular Ad hoc NETworks (VANETs) rely on information sharing, such as real-Time traffic information queries, advertisements, etc. However, existing data dissemination techniques cannot guarantee ...
Analysis of discovery and access procedure for D2D communication in 5G cellular network
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
Device-To-device (D2D) communication, which is defined as a direct communication between two mobile users without traversing the Base Station (BS) or the core network to offload the increasing traffic to the user equipments, ...