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Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ...
Towards energy efficient and quality of service aware cell zooming in 5G wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small ...
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...
Bayesian network based heuristic for energy aware EEG signal classification
(
SpringerLink
, 2013 , Conference Paper)
A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ...
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ...
Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
(
IEEE
, 2013 , Conference Paper)
Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ...
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ...
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...
Towards energy efficient relay placement and load balancing in future wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
This paper presents an energy efficient relay deployment algorithm that determines the optimal location and number of relays for future wireless networks, including Long Term Evolution (LTE)-Advanced heterogeneous networks. ...